Job Description

Position: Data Engineer

Location: PAN India Pune, Bangalore, Hyderabad, Chennai, Delhi, Kolkata & Mumbai
Experience: 5+ Years
Notice Period: 15 to 30 Days Only
Work Mode: Work from Office / Hybrid as applicable

About the Role

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have robust hands-on experience in cloud platforms, Databricks, Snowflake, PySpark, and ETL technologies.

Key Responsibilities
Design and develop scalable ETL/ELT data pipelines
Build and optimize data processing solutions using PySpark & Databricks
Work with GCP, Azure, and/or AWS cloud platforms
Develop data integration workflows using Azure Data Factory / similar tools
Work with Snowflake and up-to-date cloud data platforms
Perform data transformation, cleansing, validation, and optimization
Troubleshoot pipeline and data-related issues




Collaborate with Data Architects, Analysts, Developers, and Business teams
Follow best practices for data quality, security, performance, and scalability

Must-Have Skills

5+ years of relevant Data Engineering experience with hands-on expertise in:
PySpark
Databricks
Snowflake
ETL / ELT
Azure Data Factory / Data Integration
GCP / Azure / AWS
SQL & Data Warehousing
Data Pipelines & Data Transformation

PLEASE DO NOT APPLY IF:
Total experience is less than 5 years
Notice period is 90 days
Highest qualification is a Non-Engineering Degree
Looking exclusively for Remote / Work-from-Home opportunities
Notice period is not within 1530 days

Interested?

If you're looking for a current challenge and are open to relocation, we'd love to hear from you!

📌 Data Engineer Hyderabad
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