AWS Data Engineer-Walk in drive-Pune(Hinjewadi)-5 Aug'26

Job Summary

We are looking for an experienced AWS Data Engineer with strong expertise in Python, PySpark, Databricks, and AWS to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience with big data processing, data warehousing, and ETL development on AWS.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark.


• Develop and optimize data processing workflows using Databricks.


• Build and manage cloud-based data solutions on AWS.


• Work with structured and unstructured data from multiple sources.


• Optimize Spark jobs for performance and cost efficiency.


• Develop reusable data engineering frameworks and automation.


• Ensure data quality, governance, security, and reliability.


• Collaborate with data analysts, data scientists, and business stakeholders.


• Troubleshoot production issues and implement performance improvements.

Required Skills

• 6+ years of experience in Data Engineering.


• Strong programming skills in Python.


• Hands-on experience with PySpark.


• Experience working with Databricks.


• Strong knowledge of AWS services such as S3, Glue, EMR, Lambda, Redshift, IAM, EC2, CloudWatch, and Athena.


• Strong SQL skills and experience with relational databases.


• Experience building scalable ETL/ELT pipelines.


• Knowledge of Delta Lake, Spark optimization, and performance tuning.


• Experience with Git and CI/CD pipelines.


• Good understanding of data modeling and data warehousing concepts.