AWS Data Engineer | 6–8 Years | Pune (Kharadi) | Contract 6-12 M | WFO |

Vacancies : 10

Key Responsibilities:

Design, build, and optimize scalable ETL/ELT data pipelines.

Develop and maintain Data Warehouse and Data Lake solutions.

Process and transform large datasets using Python, SQL, and Apache Spark.

Ensure high standards of data quality, governance, security, and compliance.

Collaborate with Data Scientists, Analysts, and Engineering teams to deliver business-driven data solutions.

Monitor, troubleshoot, and optimize data workflows for performance and reliability.

Integrate data from multiple structured and unstructured sources using cloud-native technologies.

Required Skills:

6–8 years of experience in Data Engineering.

Robust hands-on expertise in AWS Data Services.

Excellent programming skills in Python and SQL.

Hands-on experience with Apache Spark.

Strong knowledge of Data Warehousing and Data Lake architectures.

Experience designing and maintaining ETL/ELT pipelines.

Understanding of data governance, security, and best practices.

Strong analytical, troubleshooting, and problem-solving skills.

📌 AWS Data Engineer | 6–8 Years | Pune (Kharadi) | Contract 6-12 M | WFO |
🏢 Accedepro Private
📍 Pune