Data Engineer

Jash Data Sciences Pvt. Ltd.; Pune District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Jash Data Sciences Pvt. Ltd. in Pune is seeking a data engineer to design and implement scalable data pipelines, ETL/ELT processes, and data lake/warehouse solutions across AWS, GCP, or Azure.

You’ll optimize SQL queries, work with PySpark/Hadoop, and collaborate with customers to shape requirements. The role emphasizes hands-on Python development, cloud-based data architectures, and a strong foundation in data engineering concepts, with opportunities to grow into Data Engineer II and beyond in

Qualifications

• 1-2 years of experience on Data Engineering projects for Data Engineer I
• 2-5 years of experience on Data Engineering projects for Data Engineer II
• 1-5 years of Hands-on Python programming experience
• Bachelor’s/Master’s in Computer Science preferred
• Certifications in Data Engineering preferred
• Proactive learner with ongoing coursework will be favored

Responsibilities

• Discover trends in datasets and develop algorithms for analytics
• Create data pipelines to ingest, transform, and load data
• Implement ETL/ELT in cloud environments (Airflow, Glue, Stitch, Data Fusion, DataFlow)
• Design and implement Data Lake, Data Warehouse, and Data Marts on AWS/GCP/Azure
• Write optimized SQL and understand query plans for performance
• Tune OLAP/OLTP databases with indexes, views, and schemas
• Write Python scripts for orchestration of data pipelines
• Communicate requirements clearly with customers and break down tasks

Skills

Python

ETL/ELT

Data Lakes

Data Warehouses

Cloud Data Pipelines

SQL

Big Data PySpark

Team Player

Git/Blog

Education

Bachelors/Masters in CS

Data Engineering Certifications

Tools

Airflow

AWS

GCP

Azure

Stitch

Cloud Data Fusion

DataFlow

Redshift

BigQuery

PostgreSQL

Job description

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 and 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, transform it, and finally load it to the target database.
• Implement ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, and 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 the 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 of 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 knowledge of windowing functions, subqueries, and various types of joins.
• Experience working with Big Data technologies like PySpark/ Hadoop
• A good team player with the ability to communicate with clarity
• Show us your git repo/ blog!

Qualification

• 1-2 years of experience working on Data Engineering projects for Data Engineer I
• 2-5 years of experience working on Data Engineering projects for Data Engineer II
• 1-5 years of Hands-on Python programming experience
• Bachelors/Masters' degree in Computer Science is good to have
• Courses or Certifications in the area of Data Engineering will be given a higher preference.
• Candidates who have demonstrated a drive for learning and keeping up to date with technology by continuing to do various courses/self-learning will be given high preference.