Job Role: Senior Data Engineer

Experience: 8+ Years

Location: Pune

Key Responsibilities

- Design and develop scalable ETL and data processing pipelines on AWS.

- Build batch and real-time data pipelines using

PySpark, Spark Streaming, and Kafka

.

- Develop and optimize Data Lake solutions using

Apache Hudi or

Apache Iceberg

.

- Build and manage data processing workflows using

AWS Glue and

Amazon EMR

.

- Automate infrastructure deployment using

Terraform and containerize applications using

Docker and

Amazon ECS

.

- Optimize large-scale distributed data processing for performance, scalability, and reliability.

- Implement data cataloging and metadata management using

AWS Glue Data Catalog

.

- Collaborate with cross-functional teams to deliver secure, high-quality data engineering solutions.





- Troubleshoot production issues and continuously improve data platform performance.

Key Skills

- 8+ years of experience in Data Engineering.

- Solid expertise in

AWS Glue

,

PySpark

,

Amazon EMR

, and

Spark Streaming

.

- Hands-on experience with

Apache Kafka for real-time data streaming.

- Experience with

Apache Hudi or

Apache Iceberg

.

- Strong programming skills in

Python and Object-Oriented Programming (OOPS).

- Experience with

AWS Glue ETL and

Glue Data Catalog

.

- Hands-on experience with

Docker

,

Amazon ECS

, and

Terraform

.

📌 Senior Data Engineer (Pune)
🏢 TekPillar®
📍 Pune