Data Manager:
Responsibilities
• Hands-on manage corporate data, including data modeling, data cataloging, data
governance, quality control and risk control.
• Develop and apply procedures, standards and guidelines to collect, secure, handle
and share data across the organization.
• Align, integrate and consolidate data assets across organizations for better
consistency, reliability and efficiency of data operation.
• Triage, troubleshoot and authorize the maintenance of data-related problems.
• Leverage domain knowledge to partner with business entities to identify patterns,
relationships, opportunities and problems in business data. Drive business data
requirements.
• Develop functional data design based on the business data requirements
• Help Data Engineers understand the functions that they need to provide technical
design and implementation.
Qualifications – Essential
• Bachelor’s degree in computer science, statistics, mathematics, or related field.
• At least 3 years industrial experience in managing data.
• Hands-on experience with modern, large-scale databases and IT systems.
• Solid knowledge and skills of SQL
• Proficient at digesting, understanding and analyzing large amounts of data.
• Knowledge of data security and privacy compliance policies, like GDPR, NIST and
CCPA
• Customer-centric and pragmatic mindset.
• Focus on value delivery and swift execution, while maintaining attention to detail.
• Excellent verbal and written communication skills.
Responsibilities
Data Manager:
Responsibilities
• Hands-on manage corporate data, including data modeling, data cataloging, data
governance, quality control and risk control.
• Develop and apply procedures, standards and guidelines to collect, secure, handle
and share data across the organization.
• Align, integrate and consolidate data assets across organizations for better
consistency, reliability and efficiency of data operation.
• Triage, troubleshoot and authorize the maintenance of data-related problems.
• Leverage domain knowledge to partner with business entities to identify patterns,
relationships, opportunities and problems in business data. Drive business data
requirements.
• Develop functional data design based on the business data requirements
• Help Data Engineers understand the functions that they need to provide technical
design and implementation.
Qualifications – Essential
• Bachelor’s degree in computer science, statistics, mathematics, or related field.
• At least 3 years industrial experience in managing data.
• Hands-on experience with modern, large-scale databases and IT systems.
• Solid knowledge and skills of SQL
• Proficient at digesting, understanding and analyzing large amounts of data.
• Knowledge of data security and privacy compliance policies, like GDPR, NIST and
CCPA
• Customer-centric and pragmatic mindset.
• Focus on value delivery and swift execution, while maintaining attention to detail.
• Excellent verbal and written communication skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are robust, scalable, and aligned with business objectives. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of data governance and data quality best practices
Responsibilities
As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are robust, scalable, and aligned with business objectives. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of data governance and data quality best practices
Salary : Rs. 0.0 - Rs. 1,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Python JD: JAVA JD: .Net JD:
Skillset : Python, Azentic AI, Artificial Intelligence and Machine Learning (AIML) combined with Generative AI (GenAI)
Must have Gen AI experience minimum 4+yrs of experience.
Implements distributed ML experimentation and training platform for firm-wide use in accordance with the requirements and architecture.
Implements and supports tools and workflows to facilitate machine learning experiments, automated training runs, and production deployments.
Extends machine learning libraries and frameworks to support complex experimentation, training, and serving requirements.
Delivers thoughtful data scientist experience with APIs and SDKs for the firm-wide machine learning platform.
Collaborates with infrastructure engineering, product management, and security and compliance teams to deliver tailored, robust solutions.
Required qualifications, capabilities, and skills
Formal training or certification on machine learning concepts and 3+ years applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability
Overall knowledge of the Python Software Development Life Cycle
Programming skills in Python and experience with ML frameworks and libraries such as Ray, TensorFlow, PyTorch, Scikit-Learn, etc.
Knowledge of model development processes and lifecycle in an ML environment.
Hands-on experience with public cloud technologies, especially with AWS, in the context of ML engineering workflows - featurization, experimentation, training, evaluation, deployment, serving, and monitoring.
Preferred qualifications, capabilities, and skills
Knowledge of Big Data and related technologies such as Hadoop, Spark, and Airflow.
Knowledge of SageMaker, EMR, and AWS ML stack.
Knowledge of Kubernetes ecosystem, including EKS, Helm Charts, and Custom Operators.
Strong experience implementing DevOps practices using tools such as Docker, Jenkins, Spinnaker, and Terraform Skillset : Java Backend with Spring boot, Kafka, and AWS (ECS, Lamda, Step Functions, Batch Process, Arora) or Any Cloud technology Experience (Azure/AWS) and DB MySQL
The candidate must have development experience with strong problem-solving skills.
Please let me know if further information is needed. Thank you.
Must haves:
Java 11 or above
Spring boot
Kafka, and AWS (ECS, Lamda, Step Functions, Batch Process, Arora) and DB MySQL
Strong architectural and problem-solving skills
Excellent communication skills
Nice to haves:
OpenText / Info Archive product experience
Postgresql
Spring batch
Prometheus
Azure Devops
Should be capable of performing upgrades, patches.
Should have various strategies to handle data archival.
Should have good control over content management concepts.
Should have good experience on JAVA 8+
Should have knowledge on REST API
Agile practitioner having clear knowledge on what to do to build a software from ground zero.
DevOps mindset and strong knowledge on DevOps tools. (Azure devOps is bonus)
Knowledge on Docker and Kubernetes Skillset : Microsoft .NET Core/.NET framework 3.5/4.0+, C#, MVC, Web API, Azure PAAS, HTML5, JQuery, CSS3
• Should have 7+ years of experience & 5 Years of Relevant experience in IT Industry
• Must have expert-level expertise with Microsoft .NET Core/.NET framework 3.5/4.0+
• Must have expert-level competency with C# & VB.Net Language
• Must have expert-level expertise with Object Oriented Programming
• Strong Full stack developer someone with good strong hands on experience on implementing .NET core solutions in Azure leveraging AKS.
• Must have very Strong Development experience in .Net, C#, MVC, Web API, Azure.
• Azure Cloud - FunctionApp, Web Jobs, Storage Account, Key Vault, App Insights, Cognitive Service, Service Bus, Azure AD/Registration, Azure BOT Service, Azure Open AI, Data Factory
• This position is for a highly motivated, driven individual with a passion for application development. The role is aligned with a project involving full software development lifecycle support (SDLC).
• Strong hands-on in .NET development areas like Web API, Microservices with docker based container development and also experience in hosting apps and managing the infrastructure both in on-premises and Azure cloud with DevOps knowledge to setup Build or release pipeline and managing the code repository, Security concepts like V-net, sub-net and private endpoint.
• Must have experience with ADO.Net, Entity Data model, Entity Framework 4.0+.
• With hands-on experience in implementing Azure Active Directory authentication.
• Designed innovative and creative solutions to meet current and future needs
• Minimum 5 years' experience in Angular and mandate to have 1-year Angular Version 8+ Expertise with HTML 5, CSS 3, DOM, JavaScript, JQuery, TypeScript, Micro Front End, Common Component Development/Design System
( Or)
• Good experience in developing web applications using HTML5, JQuery, CSS3, ReactJS and JavaScript for UI components.Proven track record of building large-scale, production-grade UI applications.Proficiency in React.js and related technologies.Familiarity with micro front-end patterns (e.g., single-spa, module federation)
• Microsoft Certified Technology Specialist (MCTS) - .NET Framework 3.5/4.0, Window Applications
• Microsoft Certified Professional Developer (MCPD) –. NET Developer 3.5/4.0
Responsibilities
Python JD: JAVA JD: .Net JD:
Skillset : Python, Azentic AI, Artificial Intelligence and Machine Learning (AIML) combined with Generative AI (GenAI)
Must have Gen AI experience minimum 4+yrs of experience.
Implements distributed ML experimentation and training platform for firm-wide use in accordance with the requirements and architecture.
Implements and supports tools and workflows to facilitate machine learning experiments, automated training runs, and production deployments.
Extends machine learning libraries and frameworks to support complex experimentation, training, and serving requirements.
Delivers thoughtful data scientist experience with APIs and SDKs for the firm-wide machine learning platform.
Collaborates with infrastructure engineering, product management, and security and compliance teams to deliver tailored, robust solutions.
Required qualifications, capabilities, and skills
Formal training or certification on machine learning concepts and 3+ years applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability
Overall knowledge of the Python Software Development Life Cycle
Programming skills in Python and experience with ML frameworks and libraries such as Ray, TensorFlow, PyTorch, Scikit-Learn, etc.
Knowledge of model development processes and lifecycle in an ML environment.
Hands-on experience with public cloud technologies, especially with AWS, in the context of ML engineering workflows - featurization, experimentation, training, evaluation, deployment, serving, and monitoring.
Preferred qualifications, capabilities, and skills
Knowledge of Big Data and related technologies such as Hadoop, Spark, and Airflow.
Knowledge of SageMaker, EMR, and AWS ML stack.
Knowledge of Kubernetes ecosystem, including EKS, Helm Charts, and Custom Operators.
Strong experience implementing DevOps practices using tools such as Docker, Jenkins, Spinnaker, and Terraform Skillset : Java Backend with Spring boot, Kafka, and AWS (ECS, Lamda, Step Functions, Batch Process, Arora) or Any Cloud technology Experience (Azure/AWS) and DB MySQL
The candidate must have development experience with strong problem-solving skills.
Please let me know if further information is needed. Thank you.
Must haves:
Java 11 or above
Spring boot
Kafka, and AWS (ECS, Lamda, Step Functions, Batch Process, Arora) and DB MySQL
Strong architectural and problem-solving skills
Excellent communication skills
Nice to haves:
OpenText / Info Archive product experience
Postgresql
Spring batch
Prometheus
Azure Devops
Should be capable of performing upgrades, patches.
Should have various strategies to handle data archival.
Should have good control over content management concepts.
Should have good experience on JAVA 8+
Should have knowledge on REST API
Agile practitioner having clear knowledge on what to do to build a software from ground zero.
DevOps mindset and strong knowledge on DevOps tools. (Azure devOps is bonus)
Knowledge on Docker and Kubernetes Skillset : Microsoft .NET Core/.NET framework 3.5/4.0+, C#, MVC, Web API, Azure PAAS, HTML5, JQuery, CSS3
• Should have 7+ years of experience & 5 Years of Relevant experience in IT Industry
• Must have expert-level expertise with Microsoft .NET Core/.NET framework 3.5/4.0+
• Must have expert-level competency with C# & VB.Net Language
• Must have expert-level expertise with Object Oriented Programming
• Strong Full stack developer someone with good strong hands on experience on implementing .NET core solutions in Azure leveraging AKS.
• Must have very Strong Development experience in .Net, C#, MVC, Web API, Azure.
• Azure Cloud - FunctionApp, Web Jobs, Storage Account, Key Vault, App Insights, Cognitive Service, Service Bus, Azure AD/Registration, Azure BOT Service, Azure Open AI, Data Factory
• This position is for a highly motivated, driven individual with a passion for application development. The role is aligned with a project involving full software development lifecycle support (SDLC).
• Strong hands-on in .NET development areas like Web API, Microservices with docker based container development and also experience in hosting apps and managing the infrastructure both in on-premises and Azure cloud with DevOps knowledge to setup Build or release pipeline and managing the code repository, Security concepts like V-net, sub-net and private endpoint.
• Must have experience with ADO.Net, Entity Data model, Entity Framework 4.0+.
• With hands-on experience in implementing Azure Active Directory authentication.
• Designed innovative and creative solutions to meet current and future needs
• Minimum 5 years' experience in Angular and mandate to have 1-year Angular Version 8+ Expertise with HTML 5, CSS 3, DOM, JavaScript, JQuery, TypeScript, Micro Front End, Common Component Development/Design System
( Or)
• Good experience in developing web applications using HTML5, JQuery, CSS3, ReactJS and JavaScript for UI components.Proven track record of building large-scale, production-grade UI applications.Proficiency in React.js and related technologies.Familiarity with micro front-end patterns (e.g., single-spa, module federation)
• Microsoft Certified Technology Specialist (MCTS) - .NET Framework 3.5/4.0, Window Applications
• Microsoft Certified Professional Developer (MCPD) –. NET Developer 3.5/4.0
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
