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.

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.




- Robust programming experience in PySpark.
- Excellent knowledge of SQL, including complex queries and data transformations.
- Hands-on experience in developing ETL/ELT pipelines.
- Good 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.

Educational Requirement

- Bachelor of Engineering

Preferred Skills

- Technology->Cloud->AWS

Service Line

- Data Analytics Unit

📌 AWS Data Engineer (Pune)
🏢 Infosys
📍 Pune