Posted on: 31/07/2025
Job Title : ETL Developer - Informatica IICS & AWS Glue
Experience : 5 to 8 Years
Location : Pune / Bangalore / Hyderabad (Hybrid Mode)
Employment Type : Full-Time (FTE)
Job Summary :
We are seeking a highly skilled and motivated ETL Developer with hands-on expertise in Informatica Intelligent Cloud Services (IICS), AWS Glue, Python programming, and data modeling. You will play a key role in designing and developing scalable data integration pipelines that enable our data transformation and migration initiatives from Informatica to AWS Glue.
Key Responsibilities :
- Design, develop, and maintain robust ETL pipelines using Informatica IICS and AWS Glue (PySpark).
- Lead the migration and modernization of existing ETL workflows from Informatica PowerCenter/IICS to AWS Glue.
- Develop Python scripts for custom data transformation, automation, and orchestration.
- Work with large datasets across structured and semi-structured data formats in cloud environments.
- Collaborate with Data Architects and Business Analysts to create effective data models, mappings, and transformation logic.
- Write optimized and maintainable SQL queries for data extraction, transformation, and reporting.
- Participate in code reviews, testing, and performance tuning to ensure high-quality deliverables.
- Maintain documentation and follow Agile delivery practices.
Required Skills :
- 5-8 years of experience in ETL/Data Engineering roles.
- Strong experience in Informatica IICS (Informatica Intelligent Cloud Services) - mappings, taskflows, parameterization, and integration with cloud storage/services.
- AWS Glue development experience using PySpark or Python Glue Jobs.
- Solid knowledge of Python for scripting and data transformation.
- Strong SQL development skills (writing complex queries, performance optimization).
- Experience with data modeling, data warehousing principles, and best practices.
- Hands-on experience with AWS services (S3, Lambda, CloudWatch, Glue Catalog).
- Good understanding of CI/CD processes and version control (e.g., Git).
Preferred Qualifications :
- Experience with migration projects from Informatica to AWS Glue.
- Knowledge of AWS Data Lake architecture and Glue Studio.
- Exposure to orchestration tools like Apache Airflow, AWS Step Functions, or similar.
- Familiarity with Agile and DevOps environments.
Work Mode :
Hybrid : 2-3 days/week in office; flexible remote working otherwise.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1522779
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