• SQL Concepts – Group By / Joins/ Surrogate Keys / Constraints/ Datatypes / Indexes
• Experience in designing and developing Oracle objects such as Experience with SQL queries (Scalar subqueries, inline views, outer joins, hints, and analytic functions
• Experience of creating PL/SQL Packages, Procedures, Functions, Triggers, Views, Collections and Exception handling for retrieving, manipulating, checking and migrating complex datasets in oracle
• Experience in SQL tuning and optimization using explain plan and SQL trace files
• Partitioning, Hints and Indexing strategy for optimal performance
• Experience in Direct Load & Conventional Load using SQL Loader
• Should have good understanding Oracle Database Architecture
• Prior consulting experience preferred
•
To qualify for the role, you must have
• Computer Science degree or equivalent
• 4 to 8 years of development experience
• Strong analytical and debugging skills
• Good understanding of advanced PL/SQL and performance tuning
• Should have positive and learning attitude, Good Communication, Strong Analytical skills
Responsibilities
• SQL Concepts – Group By / Joins/ Surrogate Keys / Constraints/ Datatypes / Indexes
• Experience in designing and developing Oracle objects such as Experience with SQL queries (Scalar subqueries, inline views, outer joins, hints, and analytic functions
• Experience of creating PL/SQL Packages, Procedures, Functions, Triggers, Views, Collections and Exception handling for retrieving, manipulating, checking and migrating complex datasets in oracle
• Experience in SQL tuning and optimization using explain plan and SQL trace files
• Partitioning, Hints and Indexing strategy for optimal performance
• Experience in Direct Load & Conventional Load using SQL Loader
• Should have good understanding Oracle Database Architecture
• Prior consulting experience preferred
•
To qualify for the role, you must have
• Computer Science degree or equivalent
• 4 to 8 years of development experience
• Strong analytical and debugging skills
• Good understanding of advanced PL/SQL and performance tuning
• Should have positive and learning attitude, Good Communication, Strong Analytical skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
JD Below:
Skill Needed: Data privacy and protection.
1) Develop data privacy and protection policies/procedures w.r.t. DPDPA and global regulations such as GDPR, CCPA, Thailand PDPA etc.
2) Perform privacy by design assessment for applications
3) Assess business processes w.r.t. applicable data privacy regulations
4) Understanding and experience (preferred) of working on data privacy tools such as OneTrust, Securiti.ai etc
5) Review Contracts w.r.t. data privacy & protection clauses
6) Develop unified compliance framework for privacy regulations
7) Implemented ISO27701 (preferred)
8) Conducted DPIA & DTIAs
Preferred Certifications:
CIPP
CIPM
OneTrust Certifications
ISO27701
ISO27001
Responsibilities
JD Below:
Skill Needed: Data privacy and protection.
1) Develop data privacy and protection policies/procedures w.r.t. DPDPA and global regulations such as GDPR, CCPA, Thailand PDPA etc.
2) Perform privacy by design assessment for applications
3) Assess business processes w.r.t. applicable data privacy regulations
4) Understanding and experience (preferred) of working on data privacy tools such as OneTrust, Securiti.ai etc
5) Review Contracts w.r.t. data privacy & protection clauses
6) Develop unified compliance framework for privacy regulations
7) Implemented ISO27701 (preferred)
8) Conducted DPIA & DTIAs
Preferred Certifications:
CIPP
CIPM
OneTrust Certifications
ISO27701
ISO27001
Salary : Rs. 10,00,000.0 - Rs. 25,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Engineer
Responsibilities
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Requirements and skills
Previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL database design
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field; a Master’s is a plus
Data engineering certification (e.g IBM Certified Data Engineer) is a plus
Responsibilities
Data Engineer
Responsibilities
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Requirements and skills
Previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL database design
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field; a Master’s is a plus
Data engineering certification (e.g IBM Certified Data Engineer) is a plus
Salary : Rs. 5,00,000.0 - Rs. 12,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience in natural language processing technologies and services with emphasis in one or more of the following:
Data acquisition and NL modelling: harvesting NL data, rapid bootstrapping of domain-specific and multilingual NL models for named-entity, syntactic parsing, or text classification.
NL systems: large-scale development and deployment, performance monitoring, tuning and optimization of NL models. Deploy machine learning models to cloud platforms ensuring scalability and reliability.
NL methodology: grammar-based, data-driven and machine learning-based, hybrid approaches, deep learning and generative ai based approaches.
NL technologies: spoken language understanding, language translation, natural language search, syntax-semantics.
Interfaces using ontologies, discourse processing, language generation and summarization, interactive NL systems.
In depth understanding of language processing technology, a strong software background and experience with processing large scale multilingual texts through effective use of computing resources.
Perform exploratory data analysis and feature engineering to derive actionable insights.
Collaborate and help build and maintain CI/CD pipelines for seamless integration of models into production.
Monitor, tune, and optimize models for performance and cost-efficiency in cloud environments.
Hands on experience with NLTK tool, tokenization, lemmatization
Annotation of texts using NLP annotators such as inception
Transforming a model from research to production and ability to fine-tune model performance in a production setting using adaptive/incremental machine learning techniques.
Collaborate with engineering teams to create robust data pipelines and integrate NLP systems into broader applications.
Education
• Masters (With 5 years of experience) or PhD degree (2 years of experience) in computer science, engineering, linguistics, or a related field.
Responsibilities
Experience in natural language processing technologies and services with emphasis in one or more of the following:
Data acquisition and NL modelling: harvesting NL data, rapid bootstrapping of domain-specific and multilingual NL models for named-entity, syntactic parsing, or text classification.
NL systems: large-scale development and deployment, performance monitoring, tuning and optimization of NL models. Deploy machine learning models to cloud platforms ensuring scalability and reliability.
NL methodology: grammar-based, data-driven and machine learning-based, hybrid approaches, deep learning and generative ai based approaches.
NL technologies: spoken language understanding, language translation, natural language search, syntax-semantics.
Interfaces using ontologies, discourse processing, language generation and summarization, interactive NL systems.
In depth understanding of language processing technology, a strong software background and experience with processing large scale multilingual texts through effective use of computing resources.
Perform exploratory data analysis and feature engineering to derive actionable insights.
Collaborate and help build and maintain CI/CD pipelines for seamless integration of models into production.
Monitor, tune, and optimize models for performance and cost-efficiency in cloud environments.
Hands on experience with NLTK tool, tokenization, lemmatization
Annotation of texts using NLP annotators such as inception
Transforming a model from research to production and ability to fine-tune model performance in a production setting using adaptive/incremental machine learning techniques.
Collaborate with engineering teams to create robust data pipelines and integrate NLP systems into broader applications.
Education
• Masters (With 5 years of experience) or PhD degree (2 years of experience) in computer science, engineering, linguistics, or a related field.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience in Internal Audit/ Process Audit concepts and methodology
Processes, Sub-processes, and Activities as well as their relationship
Internal control concepts (e.g., Preventive Controls; Detective Controls; Anti-
fraud Controls; etc.)
Other applicable common laws (e.g., Income Tax Act 1967, Companies Act 1956,
Prevention of Food Adulteration Act, etc.)
Collaboration with the different stakeholders on the complex assessment issues to
develop possible recommendations
Documents findings and proposes recommendations that deal with root cause of
issues and impact to the organization
Should be able to assist with the timely completion of tasks, development of client
deliverables and status reporting.
Soft Skills:
Clarity of thought, articulation, and expression
Takes ownership, sincere and focused on execution
Confident and good verbal communication skills
Ability to organize, prioritize and meet deadlines
Semi qualified CA or
Qualified CA
(with 3 of extensive articleship in IA),
MBA
Responsibilities
Experience in Internal Audit/ Process Audit concepts and methodology
Processes, Sub-processes, and Activities as well as their relationship
Internal control concepts (e.g., Preventive Controls; Detective Controls; Anti-
fraud Controls; etc.)
Other applicable common laws (e.g., Income Tax Act 1967, Companies Act 1956,
Prevention of Food Adulteration Act, etc.)
Collaboration with the different stakeholders on the complex assessment issues to
develop possible recommendations
Documents findings and proposes recommendations that deal with root cause of
issues and impact to the organization
Should be able to assist with the timely completion of tasks, development of client
deliverables and status reporting.
Soft Skills:
Clarity of thought, articulation, and expression
Takes ownership, sincere and focused on execution
Confident and good verbal communication skills
Ability to organize, prioritize and meet deadlines
Semi qualified CA or
Qualified CA
(with 3 of extensive articleship in IA),
MBA
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Computer System Validation for Customized IT applications, Technical writing skills for Pharma IT applications in R&D, and Clinical, GxP QMS knowledge, IT Service Management, SDLC Lifecycle.
Responsibilities
Computer System Validation for Customized IT applications, Technical writing skills for Pharma IT applications in R&D, and Clinical, GxP QMS knowledge, IT Service Management, SDLC Lifecycle.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking a skilled and motivated DevOps Engineer to join our team. The ideal candidate will have strong expertise in both software development and IT operations, with experience in automating processes, optimizing infrastructure, and ensuring the smooth deployment of applications. As a DevOps Engineer, you will collaborate closely with software developers, system administrators, and other IT professionals to enhance the scalability, reliability, and efficiency of our systems. Key Responsibilities: • Automation & Continuous Integration (CI/CD): o Design, implement, and maintain CI/CD pipelines to automate software builds, tests, and deployment. o Work with developers to integrate automated testing into the CI/CD process. o Ensure that all software releases are deployed seamlessly to production with minimal downtime. • Infrastructure Management: o Develop and manage cloud-based infrastructures. o Use Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible for provisioning and managing environments. o Monitor and manage infrastructure health, scalability, and performance. • Monitoring & Troubleshooting: o Implement logging and monitoring solutions (e.g., Prometheus, Grafana, ELK stack). o Identify, troubleshoot, and resolve production issues quickly to minimize downtime. o Provide proactive solutions to improve the reliability and performance of the system. • Collaboration & Support: o Work closely with developers to ensure smooth integration of code and systems. o Collaborate with cross-functional teams to optimize application performance and user experience. o Provide guidance and support for system administrators and developers in adopting best practices. • Security & Compliance: o Ensure security best practices are followed in both development and production environments. o Work with security teams to conduct audits and improve the security posture of systems. o Implement automated security testing and vulnerability scans. • Performance Optimization: o Conduct performance tuning, load testing, and scaling of applications. o Analyze application performance metrics and identify areas for improvement. Required Skills and Qualifications: • Technical Expertise: o Strong experience with DevOps tools such as Docker, Kubernetes, Jenkins, Git, and CI/CD systems. o Proficiency in cloud platform: Azure. o Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation. o Experience with configuration management tools (e.g., Chef, Puppet, or SaltStack). o Familiar with containerization and orchestration technologies (Docker, Kubernetes). • Scripting & Programming: o Proficient in scripting languages like Python, Bash. o Strong understanding of version control systems, particularly Git.
• Monitoring & Logging: o Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). o Ability to diagnose and troubleshoot performance issues in a production environment. • Problem Solving & Communication: o Excellent problem-solving and troubleshooting skills. o Strong communication skills to collaborate with cross-functional teams and stakeholders. • Agile Methodologies: o Familiarity with Agile development practices and methodologies. o Experience working in Agile development environments. Preferred Qualifications: • Experience with microservices architecture and container orchestration using Kubernetes. • Familiarity with serverless computing and architectures. • Knowledge of database administration and performance optimization (SQL/NoSQL). • Familiarity with security best practices, compliance regulations (e.g., GDPR, HIPAA). • Certification in cloud platforms wrt to DevOps. Education & Experience: • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience. • 3+ years of experience in DevOps, system administration, or software development.
Responsibilities
We are seeking a skilled and motivated DevOps Engineer to join our team. The ideal candidate will have strong expertise in both software development and IT operations, with experience in automating processes, optimizing infrastructure, and ensuring the smooth deployment of applications. As a DevOps Engineer, you will collaborate closely with software developers, system administrators, and other IT professionals to enhance the scalability, reliability, and efficiency of our systems. Key Responsibilities: • Automation & Continuous Integration (CI/CD): o Design, implement, and maintain CI/CD pipelines to automate software builds, tests, and deployment. o Work with developers to integrate automated testing into the CI/CD process. o Ensure that all software releases are deployed seamlessly to production with minimal downtime. • Infrastructure Management: o Develop and manage cloud-based infrastructures. o Use Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible for provisioning and managing environments. o Monitor and manage infrastructure health, scalability, and performance. • Monitoring & Troubleshooting: o Implement logging and monitoring solutions (e.g., Prometheus, Grafana, ELK stack). o Identify, troubleshoot, and resolve production issues quickly to minimize downtime. o Provide proactive solutions to improve the reliability and performance of the system. • Collaboration & Support: o Work closely with developers to ensure smooth integration of code and systems. o Collaborate with cross-functional teams to optimize application performance and user experience. o Provide guidance and support for system administrators and developers in adopting best practices. • Security & Compliance: o Ensure security best practices are followed in both development and production environments. o Work with security teams to conduct audits and improve the security posture of systems. o Implement automated security testing and vulnerability scans. • Performance Optimization: o Conduct performance tuning, load testing, and scaling of applications. o Analyze application performance metrics and identify areas for improvement. Required Skills and Qualifications: • Technical Expertise: o Strong experience with DevOps tools such as Docker, Kubernetes, Jenkins, Git, and CI/CD systems. o Proficiency in cloud platform: Azure. o Familiarity with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation. o Experience with configuration management tools (e.g., Chef, Puppet, or SaltStack). o Familiar with containerization and orchestration technologies (Docker, Kubernetes). • Scripting & Programming: o Proficient in scripting languages like Python, Bash. o Strong understanding of version control systems, particularly Git.
• Monitoring & Logging: o Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). o Ability to diagnose and troubleshoot performance issues in a production environment. • Problem Solving & Communication: o Excellent problem-solving and troubleshooting skills. o Strong communication skills to collaborate with cross-functional teams and stakeholders. • Agile Methodologies: o Familiarity with Agile development practices and methodologies. o Experience working in Agile development environments. Preferred Qualifications: • Experience with microservices architecture and container orchestration using Kubernetes. • Familiarity with serverless computing and architectures. • Knowledge of database administration and performance optimization (SQL/NoSQL). • Familiarity with security best practices, compliance regulations (e.g., GDPR, HIPAA). • Certification in cloud platforms wrt to DevOps. Education & Experience: • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience. • 3+ years of experience in DevOps, system administration, or software development.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
