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 effective 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.
Strong 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 programming experience with knowl

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