:

- We are looking for an AWS Data Engineer with hands on experience in building and managing scalable data pipelines using AWS services PySpark SQL and ETL frameworks
- The candidate should have strong data engineering fundamentals and experience working with large scale structured and semi structured datasets

Key Responsibilities:

- Design develop and maintain scalable data pipelines on AWS
- Develop ETL ELT workflows for data ingestion transformation and processing
- Build data processing solutions using PySpark and SQL
- Perform data transformations validations and data quality checks
- Optimize data pipelines and SQL queries for performance and scalability
- Work with different data sources and integrate data into cloud based data platforms
- Troubleshoot data pipeline failures and resolve data related issues
- Collaborate with business analytics and engineering teams to understand data requirements

Technical Requirements:





- Strong hands on experience with AWS Data Engineering services such as S3 Glue Lambda EMR Redshift Athena and IAM
- Strong programming experience in PySpark
- Excellent knowledge of SQL including complex queries and data transformations
- Hands on experience in developing ETL ELT pipelines
- Valuable understanding of data warehousing data lakes and data modeling concepts
- Experience handling large scale datasets and optimizing distributed data processing workloads
- Knowledge of Python is preferred
- Familiarity with Git CI CD orchestration tools and Agile development practices will be an advantage

Additional Responsibilities:

- Good analytical and problem solving skills
- Strong communication and collaboration skills
- Ability to independently understand requirements and deliver data engineering solutions
- Exposure to cloud migration or modernization projects would be an added advantage

Preferred Skills:

Technology->Cloud->AWS

📌 AWS Data Engineer (Pune)
🏢 Infosys
📍 Pune