Experience with SAP ABAP, Workflow, Adobe Forms, Smart forms and Web Dynpro is highly required
Experience in developing interfaces with SAP PI system
Experience in BRF, Web Services, and IDOC is a big plus.
Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision
Responsibilities
Experience with SAP ABAP, Workflow, Adobe Forms, Smart forms and Web Dynpro is highly required
Experience in developing interfaces with SAP PI system
Experience in BRF, Web Services, and IDOC is a big plus.
Self-starter with leadership qualities who can work independently and in teams on tasks and projects with limited supervision
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Responsibilities
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Solution and Functional Architect (SAFA)
Job Responsibilities
• Drive complex FP&A projects by leading high performing teams, running senior client meetings and workshops, assessing engagement risks, and driving conclusions for our clients
• Work with colleagues or counterparts in client organizations to understand data requirements and associated calculation logic, and translate data and calculation requirements into model designs
• Develop models in Anaplan including prototype builds, product releases, testing and data integration
• Lead development of dashboards, visualization, and analytical solutions
• Drive training, knowledge transfer and support post go-live with client end users
• Contribute to an environment that encourages Finance innovation and lead new and improved ways of working, delivery models and / or technological advancements
• Provide quality assurance and monitor risks, manage assignment teams and third parties, liaise with service line teams and functional specialists.
• Develop strong internal networks, build client relationships and manage and drive growth of accounts
• Drive business development activities and the identification of opportunities, supporting proposals and bid teams and managing development and delivery of high-quality proposals.
• Augment the capability of the practice by sharing knowledge and experience, as well as demonstrating great depth of specialism, development of solutions, engagement tools, and accelerators
• Train, mentor, and supervise junior staff for client delivery and business development.
• Monitoring staff availability, chargeability and supporting the development of less utilized staff
• Contribute to your development and the teams’ technical skills by demonstrating inclusive behaviors and establishing a culture of highest performing teams
• Keep up to date with industry news and developments to support business development opportunities and solutions
Qualifications
• Strong experience of leading multi-dimensional model development on the Anaplan platform, including configuration of existing models, incorporating new functionality, and optimizing modeling solutions.
• Experienced in operating as the solution architectural lead for mid-sized or large-scale planning solutions.
• High proficiency in understanding complex business data requirements and building models that will deliver relevant insights.
• Strong attention to detail
• Solid understanding of supply chain, financial, sales planning areas
• Ability to apply understanding of sales, supply chain, financial planning principle within data integration, analysis, and solution development
• Ability to learn and adopt new technologies, software, and methodologies.
• Experienced in leading teams through uncertainty and ambiguity in a project environment.
• Strong interpersonal skills and able to flex style to build rapport with team members and clients
• Certified Anaplan Solution Architect or Master Anaplanner certifications
• Good understanding of agile methodology in projects
Responsibilities
Solution and Functional Architect (SAFA)
Job Responsibilities
• Drive complex FP&A projects by leading high performing teams, running senior client meetings and workshops, assessing engagement risks, and driving conclusions for our clients
• Work with colleagues or counterparts in client organizations to understand data requirements and associated calculation logic, and translate data and calculation requirements into model designs
• Develop models in Anaplan including prototype builds, product releases, testing and data integration
• Lead development of dashboards, visualization, and analytical solutions
• Drive training, knowledge transfer and support post go-live with client end users
• Contribute to an environment that encourages Finance innovation and lead new and improved ways of working, delivery models and / or technological advancements
• Provide quality assurance and monitor risks, manage assignment teams and third parties, liaise with service line teams and functional specialists.
• Develop strong internal networks, build client relationships and manage and drive growth of accounts
• Drive business development activities and the identification of opportunities, supporting proposals and bid teams and managing development and delivery of high-quality proposals.
• Augment the capability of the practice by sharing knowledge and experience, as well as demonstrating great depth of specialism, development of solutions, engagement tools, and accelerators
• Train, mentor, and supervise junior staff for client delivery and business development.
• Monitoring staff availability, chargeability and supporting the development of less utilized staff
• Contribute to your development and the teams’ technical skills by demonstrating inclusive behaviors and establishing a culture of highest performing teams
• Keep up to date with industry news and developments to support business development opportunities and solutions
Qualifications
• Strong experience of leading multi-dimensional model development on the Anaplan platform, including configuration of existing models, incorporating new functionality, and optimizing modeling solutions.
• Experienced in operating as the solution architectural lead for mid-sized or large-scale planning solutions.
• High proficiency in understanding complex business data requirements and building models that will deliver relevant insights.
• Strong attention to detail
• Solid understanding of supply chain, financial, sales planning areas
• Ability to apply understanding of sales, supply chain, financial planning principle within data integration, analysis, and solution development
• Ability to learn and adopt new technologies, software, and methodologies.
• Experienced in leading teams through uncertainty and ambiguity in a project environment.
• Strong interpersonal skills and able to flex style to build rapport with team members and clients
• Certified Anaplan Solution Architect or Master Anaplanner certifications
• Good understanding of agile methodology in projects
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Must Have: (Key skills Python Django, SQL)
• Strong proficiency in Python programming language and its standard library
• Experience with web frameworks like Django or Flask.
• Knowledge of databases (SQL and NoSQL).
• Understanding of software development methodologies (e.g., Agile).
• Experience with version control systems (e.g., Git).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is often preferred.
• Excellent problem-solving and communication skills.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Infra - candidates should have lab set up experience, networking skills
MUST HAVE skill sets (technical) that are required:
• Headend RF/Ethernet/Optical Network Installation & Troubleshooting
• Skilled in Microsoft Office (Excel/SharePoint/Outlook/Etc)
• Datacenter Technician Installation/Configuration/Troubleshooting
• Experience in MSOs Architectures (multiple-system operators), including HFC (Hybrid Fiber Coax), DAA (Distributed Access Architecture), PON (Passive Optical Network), etc.
• Intermediate knowledge of Critical Infrastructure systems (power/space/cooling) and their importance to Data Center Infrastructure Management (DCIM).
Roles and Responsibilities
• Daily physical installation and maintenance support of Comcast Labs in Chennai
• Understanding and troubleshooting complex development networks including CRAN/NDC/DAA/HFC Video and Cloud.
• Routine maintenance and reporting of on-site Critical Infrastructure metrics (Power/Space/Cooling)
• Remote Hands support for RF Testing networks and various development technologies
• Responsibility to complete and oversee the racking/bonding/wiring of all company assets in strict adherence to Comcast and NEC standards.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Mani DBA Cassandra KEY RESPONSIBILITIES: In this role, you will be responsible for:
• Install and configure Apache Cassandra clusters.
• Monitor database performance and optimize queries.
• Implement backup and disaster recovery strategies.
• Ensure data security and compliance standards.
• Perform routine maintenance and upgrades.
• Collaborate with development teams on data modeling.
• Troubleshoot and resolve database issues.
• Automate administrative tasks using scripts.
• Manage user access and permissions.
• Document database configurations and procedures.
KEY JOB REQUIREMENTS: In this role, you will be successful, if you have:
§ Proven experience as a Cassandra / Redis / Mariadb / Mongo db Administrator.
§ Strong knowledge of NoSQL databases.
§ Familiarity with Cassandra architecture and internals.
§ Experience with Linux/Unix systems.
§ Proficiency in scripting languages like Bash or Python.
§ Understanding of replication, consistency, and partitioning.
§ Experience with monitoring tools like Prometheus or OpsCenter.
§ Ability to work in a team-oriented environment.
§ Strong analytical and problem-solving skills.
§ Change failure rate
§ Lead time for changes
§ Infrastructure automation level
Experience:
§ Graduate or postgraduate in Computer Science or related Engineering Specialization.
§ Relevant hands-on experience in IT with significant focus on DB Administration 4+ years 2 Chennai WFO 140K – 160K
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
