Senior Data Engineer

Position : Senior Data Engineer

Experience : 5–6 Years

Location : Hybrid – Pune

About the Role : We are seeking a

Senior Data Engineer

with strong expertise in building and optimizing large-scale data pipelines, managing data warehouses, and designing efficient data architectures. The ideal candidate will take ownership of our end-to-end data strategy, ensuring scalability, reliability, and performance across multiple data systems.

Key Responsibilities :

Design, build, and maintain

data pipelines

for large-scale data processing and transformation.

Work with

Redshift or PostgreSQL, DynamoDB, and DocumentDB

as primary databases.

Implement efficient

data ingestion, cleaning, and transformation

strategies across multiple data sources.

Optimize

Redshift

performance and manage query efficiency (approx. 30K queries / day).

Lead

data architecture re-design

and schema optimization to improve scalability and reporting performance. Collaborate with cross-functional teams to deliver data-driven insights and reporting solutions.

Manage

data migration ,

pipeline automation , and model deployment across environments.

Identify and implement cost optimization strategies across data infrastructure.

Technical Skills (Mandatory) : - Database Expertise :

Redshift or PostgreSQL, DynamoDB, DocumentDB. -

Big Data Processing :

AWS Glue, Apache Spark. -

Data Pipeline Design & Development

experience