About The Role

Build and maintain data infrastructure that powers analytics and ML workflows. You'll design data pipelines, implement data quality frameworks, and manage data warehousing solutions.

What You'll Do

Design and implement scalable data ingestion pipelines

Build and maintain data warehouse and lakehouse architectures

Implement data quality monitoring and validation frameworks

Create ETL/ELT processes for various data sources

Optimize query performance and data storage costs

Establish data governance and lineage tracking

Collaborate with analysts and data scientists on data requirements

What You'll Bring

3 years of data engineering experience

Strong proficiency in SQL and Python

Experience with data warehouse technologies (Snowflake, BigQuery, Redshift)

Knowledge of data pipeline tools (Apache Airflow, Prefect)

Understanding of data modeling and schema design





Experience with cloud data services and streaming platforms

Familiarity with data quality and testing frameworks

Nice to Have

Experience with real-time data processing (Kafka, Spark Streaming)

Knowledge of data mesh and modern data stack architectures

Familiarity with dbt and analytics engineering

Understanding of data privacy and compliance requirements

Why Join StackBinary™?

Adaptable working hours

Remote-friendly culture

Learning & development budget

High-ownership projects

Pragmatic engineering culture

Work with cutting-edge tech

Ready to Apply?

Join our team of builders who love shipping quality software.

Questions about this role?

[email protected]

📌 Data Engineer (Mumbai)
🏢 Stackbinary
📍 Mumbai