1 - 4 years

10 - 20 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Hybrid

Job Type

Full Time

Job Description

Job Title: Data Engineer

Experience: 1 - 4 Years

Location: Bangalore

About the Role

We are looking for a hands-on, action-oriented Data Engineer who thrives on execution.

This role is perfect for someone who enjoys rolling up their sleeves, building robust data

pipelines, and delivering solutions that directly impact the business. If you prefer doing

over discussing, and value outcomes over process, we want you on our team.

Key Responsibilities-

Build, deploy, and manage data pipelines using Python and PySpark

Develop and optimize ETL/ELT processes to support data integration across systems

Work directly with GCP and AWS services to implement scalable cloud-based data solutions

Own data workflows end-to-end from ingestion to transformation to storage

Continuously monitor and improve pipeline reliability, speed, and data quality

Use GenAI and automation tools to speed up development and reduce manual effort

Proactively debug, troubleshoot, and resolve data engineering issues

Ensure data is available and trustworthy for analytics and downstream systems

Deliver high-quality code and documentation with a bias for action

Required Skills:

Qualifications-

Strong proficiency in Python and PySpark

Working experience with cloud platforms like GCP and/or AWS

Solid understanding of ETL/ELT, data warehouse and data lake concepts.

Proficient in working with relational databases—preferably PostgreSQL and MySQL—as

well as non-relational databases, with a focus on MongoDB.

Driven by delivery and results — you get things done efficiently

Self-starter attitude with minimal need for hand-holding

Excitement for automating work using GenAI or scripting tools

Familiarity with SCD, CDC, Real-time Streaming vs Batch-processing.

Nice to Have

Experience with CI/CD pipelines and Docker

Understanding of data governance and observability

Prior experience in fast-paced, execution-heavy teams

Why Join Us?

High-impact role where execution speed is valued and recognized

Freedom to build, ship, and iterate without red tape

Work with a lean, high-performing data team

Opportunities to innovate with Generative AI tools

Fast learning environment and ownership from day one

Regards,

Aayushi Agrawal

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