Do you love solving real-world data problems with the latest and best techniques? And having fun while solving them in a team Then come join our high-energy team of passionate data people. Jash Data Sciences is the right place for you.

We are a cutting-edge Data Sciences and Data Engineering startup based in Pune, India.
We believe in continuous learning and evolving together. And we let the data speak

What will you be doing?
• You will be discovering trends in the data sets and developing algorithms to transform raw data for further analytics
• Create Data Pipelines to bring in data from various sources, with different formats, transforming it, and finally loading it to the target database.
• Implement ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, DataFlow.
• Design and implement Data Lake, Data Warehouse, and Data Marts in AWS, GCP, or Azure using Redshift, BigQuery, PostgreSQL, etc.
• Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL.




• Performance tuning of OLAP/ OLTP databases by creating indices, tables, and views.
• Write Python scripts for orchestration of data pipelines
• Have thoughtful discussions with customers to understand their data engineering requirements. Break complex requirements into smaller tasks for execution.

What do we need from you?
• Strong Python coding skills with basic knowledge of algorithms/data structures and their application.
• Solid understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines.
• Experience designing and implementing Data Lakes, Data Warehouses, and Data Marts that support terabytes scale data.
• A track record of implementing Data Pipelines on public cloud environments (AWS/GCP/Azure) is highly desirable
• A clear understanding of Database concepts like indexing, query performance optimization, views, and various types of schemas.
• Hands-on SQL progr

📌 Data Engineer (Pune)
🏢 Jash Data Sciences
📍 Pune