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 strong 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 new challenge and are open to relocation, we'd love to hear from you!

📌 Data Engineer (Bengaluru)
🏢 Shyena Tech Yarns
📍 Bengaluru