2,098 Etl Developer jobs in India

About Pinnacle Group:

Pinnacle Group is a leading workforce solutions provider that empowers organizations to achieve their business objectives through innovative workforce strategies. We specialize in optimizing contingent workforce management and delivering tailored solutions that drive operational excellence. With a commitment to diversity and inclusion, Pinnacle Group fosters an environment of collaboration, growth, and success.

Summary:

We are seeking an experienced ETL Developer to join our dynamic team. The ideal candidate will have a strong background in SQL, ETL processes, and Data Warehouse design and modeling. This role will be responsible for developing, maintaining, and optimizing ETL solutions using SSIS and Azure Data Factory to support our data integration and analytics initiatives.

Key Responsibilities

• ETL Development: Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS) and Azure Data Factory.
• Data Warehouse Design: Architect and implement data warehouse solutions, ensuring optimal design for data integration, storage, and retrieval.
• Data Modeling: Create and maintain data models, ensuring they meet business requirements and support analytical needs.
• Data Integration: Integrate data from various sources, ensuring data quality and consistency.
• Performance Optimization: Monitor ETL processes and data warehouse performance, implementing optimizations as needed.
• Collaboration: Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver effective solutions.
• Documentation: Maintain comprehensive documentation of ETL processes, data models, and data flows.
• Support: Provide support for data-related issues, troubleshooting and resolving problems as they arise.

Required Skills and Qualifications

Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience:

• 3+ years of experience in ETL development.
• Proven experience with SQL Server Integration Services (SSIS) and Azure Data Factory.
• Experience in data warehouse design and modeling.
• Technical Skills:
• Proficient in SQL, including complex queries, stored procedures, and performance tuning.
• Strong understanding of ETL concepts, tools, and best practices.
• Experience with data modeling tools and methodologies.
• Familiarity with data integration from various sources (e.g., APIs, flat files, databases).
• Knowledge of cloud data warehousing solutions (e.g., Azure Synapse Analytics, Snowflake) is a plus.
• Analytical Skills: Excellent problem-solving and analytical skills, with a keen attention to detail.
• Communication: Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Teamwork: Ability to work effectively both independently and as part of a team.

Preferred Skills

• Experience with other ETL tools and platforms.
• Knowledge of data governance and data quality principles.
• Understanding of big data technologies (e.g., Hadoop, Spark) is a plus.
• Experience with BI tools (e.g., Power BI, Tableau) for data visualization and reporting.

Working Conditions

• Full-time position.
• Hybrid work environment.

This is going to be a onsite position in Chennai and the shift time in 6:30 PM - 3:30 AM.

#Dear Associates,

#Hope you are doing well & Safe!

#Greetings from Rrootshell Technologiiss Pvt Ltd

#We are HIRING & URGENT Requirement for #ETL/Data Engineer – Data Migration

#This is for FULL -TIME role and Remote Work Opportunity.

Hiring: ETL/Data Engineer – Data Migration

About the Role

ETL/Data Engineer – Data Migration (Bangalore | Hybrid)

Location: Bangalore, India (Hybrid – 2–3 days onsite)

Experience: 5+ years

About the Role

Join the team to drive data migration from Siebel to Salesforce. You’ll work on end-to-end ETL development, building solutions, validating systems, and ensuring smooth data movement across platforms.

Key Responsibilities

• Design, develop, and review ETL/data migration solutions.
• Work with large data sets across Oracle, Postgres, and MongoDB.
• Collaborate with global teams and manage deliverables on time and budget.
• Prepare documentation and track performance metrics.

Requirements

• 5+ years in ETL/Data Engineering .
• Strong skills in SQL/PL-SQL , Python scripting , Unix Shell scripting , and Apache Airflow .
• Experience with large data volumes, database relationships, and data migration.
• DART platform knowledge and basic full stack experience.

Work Setup

Hybrid role – Bangalore office 2–3 days/week (mandatory).

Strict compliance – no moonlighting .

Interested? Drop your CV at ( ) or DM me directly.

Referrals are welcome and appreciated!

#Preferring for IMMEDIATE JOINERS OR max 15 Days’ notice .

LinkedIn ID:

linkedin.com/in/sai-naveen-muntha-b4a /

linkedin.com/in/ravi-kumar-rapalli-

Regards

Sai Naveen Muntha

Technical Recruiter

Position Summary:

We are seeking a highly skilled ETL Developer with 5–8 years of experience in data integration, transformation, and pipeline optimization. This role is a key part of our Data Engineering function within the Business Intelligence team, responsible for enabling robust data flows that power enterprise dashboards, analytics, and machine learning models. The ideal candidate has strong SQL and scripting skills, hands-on experience with cloud ETL tools, and a passion for building scalable data infrastructure.

Education Qualification:

• B. Tech (CS, Elec), MCA or higher.

Key Responsibilities:

• Design, develop, and maintain ETL pipelines that move and transform data across internal and external systems.
• Collaborate with data analysts, BI developers, and data scientists to support reporting, modeling, and insight generation.
• Build and optimize data models and data marts to support business KPIs and self-service BI.
• Ensure data quality, lineage, and consistency across multiple source systems.
• Monitor and tune performance of ETL workflows, troubleshoot bottlenecks and failures.
• Support the migration of on-premise ETL workloads to cloud data platforms (e.g., Snowflake, Redshift, BigQuery).
• Implement and enforce data governance, documentation, and operational best practices .
• Work with DevOps/DataOps teams to implement CI/CD for data pipelines .

Required Qualifications:

• 5–8 years of hands-on experience in ETL development or data engineering roles.
• Advanced SQL skills and experience with data wrangling on large datasets.
• Proficient with at least one ETL tool (e.g., Informatica , Talend , AWS Glue , SSIS , Apache Airflow , or Domo Magic ETL ).
• Familiarity with data modeling techniques (star/snowflake schemas, dimensional models).
• Experience working with cloud data platforms (e.g., AWS, Azure, GCP).
• Strong understanding of data warehouse concepts , performance optimization, and data partitioning.
• Experience with Python or scripting languages for data manipulation and automation.

Preferred Qualifications:

• Exposure to BI platforms like Domo, Power BI, or Tableau.
• Knowledge of CI/CD practices in a data engineering context (e.g., Git, Jenkins, dbt).
• Experience working in Agile/Scrum environments .
• Familiarity with data security and compliance standards (GDPR, HIPAA, etc.).
• Experience with API integrations and external data ingestion.

About PTR Global

PTR Global is a leader in providing innovative workforce solutions, dedicated to optimizing talent acquisition and management processes. Our commitment to excellence has earned us the trust of businesses looking to enhance their talent strategies. We cultivate a dynamic and collaborative environment that empowers our employees to excel and contribute to our clients' success.

Job Summary

We are seeking a highly skilled ETL Developer to join our team in Chennai. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes, as well as data warehouse design and modeling, to support our data integration and business intelligence initiatives. This role requires proficiency in T-SQL, Azure Data Factory (ADF), and SSIS, along with excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain ETL processes to support data integration and business intelligence initiatives.
• Utilize T-SQL to write complex queries and stored procedures for data extraction and transformation.
• Implement and manage ETL processes using SSIS (SQL Server Integration Services).
• Design and model data warehouses to support reporting and analytics needs.
• Ensure data accuracy, quality, and integrity through effective testing and validation procedures.
• Collaborate with business analysts and stakeholders to understand data requirements and deliver solutions that meet their needs.
• Monitor and troubleshoot ETL processes to ensure optimal performance and resolve any issues promptly.
• Document ETL processes, workflows, and data mappings to ensure clarity and maintainability.
• Stay current with industry trends and best practices in ETL development, data integration, and data warehousing.

Must Haves

• Minimum 4+ years of experience as an ETL Developer or in a similar role.
• Proficiency in T-SQL for writing complex queries and stored procedures.
• Experience with SSIS (SQL Server Integration Services) for developing and managing ETL processes.
• Knowledge of ADF (Azure Data Factory) and its application in ETL processes.
• Experience in data warehouse design and modeling.
• Knowledge of Microsoft's Azure cloud suite, including Data Factory, Data Storage, Blob Storage, Power BI, and Power Automate.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Strong attention to detail and commitment to data quality.
• Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

An ETL (Extract, Transform, Load) Developer designs, develops, and maintains data pipelines and data warehouses, extracting data from various sources, transforming it into a usable format, and loading it into target systems. Key responsibilities include collaborating with business teams to understand data needs, writing complex SQL queries, troubleshooting data issues, optimizing performance, ensuring data accuracy, and documenting processes to support analytics and reporting.  

Core Responsibilities

• Data Extraction:  Retrieving data from diverse sources like databases, applications, APIs, and files. 
• Data Transformation:  Converting raw data into a standardized, clean, and consistent format suitable for the target system and business analysis. 
• Data Loading:  Loading the transformed data into data warehouses or other target systems where it can be accessed for reporting and analytics. 
• Designing and Developing ETL Processes:  Building and implementing the entire ETL pipeline, including data flows, mappings, and workflows. 
• Data Quality and Integrity:  Ensuring the accuracy, consistency, and reliability of data throughout the ETL process. 
• Performance Optimization:  Tuning SQL queries, identifying and resolving performance bottlenecks, and optimizing data loading times. 
• Troubleshooting and Debugging:  Investigating and resolving any issues that arise within ETL processes or databases. 
• Documentation:  Creating comprehensive documentation for ETL designs, processes, and architectures for future reference. 

Collaboration and Communication

• Working with Stakeholders:  Collaborating with business analysts, data analysts, and other stakeholders to understand data requirements and business goals. 
• Cross-functional Teams:  Working closely with technical and business teams to translate requirements into effective data solutions. 

System Maintenance and Improvement

• Maintaining ETL Workflows:  Ensuring the ongoing health and performance of existing ETL jobs and processes. 
• Implementing New Software:  Staying updated with new technologies and incorporating them to improve ETL capabilities and data processing. 
• Providing Training:  Facilitating and training staff on ETL processes and best practices. 

Key Responsibilities:

• Design, develop, and optimize scalable and reliable ETL pipelines using Python and PySpark.
• Extract data from diverse data sources and transform it to meet analytical and business needs.
• Implement robust data validation, error handling, and quality checks within ETL pipelines.
• Work with large-scale datasets and ensure efficient performance and scalability.
• Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver end-to-end data solutions.
• Deploy and monitor ETL processes on AWS cloud services such as S3, Glue, Lambda, EMR, Redshift, Step Functions, etc.
• Ensure compliance with data governance and security standards.
• Troubleshoot and resolve performance bottlenecks and data quality issues.

Mandatory Qualifications:

• 4+ years of professional experience in ETL development.
• Strong programming skills in Python and experience with PySpark for distributed data processing.
• Proficient in SQL and working with relational and non-relational databases.
• Hands-on experience with AWS cloud services related to data engineering (e.g., S3, Glue, EMR, Lambda, Redshift).
• Experience in designing and implementing ETL workflows in a production environment.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.