Position Summary:
We are looking for an enthusiastic entry-level Data Engineer with a growing DevOps mindset to help build and maintain reliable, scalable data pipelines that power business functions across the enterprise. This is a outstanding chance for an early-career engineer to learn, grow, and build hands-on expertise — you'll support the team in developing data pipelines, learn CI/CD and operational practices, and take on increasing responsibility under the guidance of senior engineers.

Core Skills:
Databricks · Python (PySpark) · SQL · Data Pipelines · CI/CD

Key Responsibilities:
Engineering & Delivery:
Help build and maintain data pipelines on Databricks under guidance.
Develop ETL/ELT processes with attention to data quality, consistency, and scalability.
Contribute to reusable frameworks for ingestion, transformation, and reconciliation across source systems.
Follow established engineering standards — coding standards, pipeline patterns, and ETL/ELT best practices.

Operations & DevOps:




Assist with deploying changes through CI/CD and the Change Request (CR) lifecycle, including validation and ticket closure.
Participate in problem-solving and root-cause analysis, learning to drive permanent fixes over recurring firefighting.
Help monitor data workloads and support incident response with guidance from senior engineers.

Collaboration:
Work with Reporting, Platform, and Business teams to help deliver curated datasets for downstream consumers.
Communicate progress and issues clearly to engineering peers and mentors.
Document workflows and runbooks to support reproducibility and knowledge sharing.

What Success Looks Like (First 6–12 Months):
In your first 6–12 months, you'll build a solid understanding of the data platform, confidently deliver assigned pipeline tasks, and become comfortable with CI/CD and operational practices — with support from senior engineers.

Required Qualifications:
Bachelor's or Master's degree in Computer Sc

📌 Data Engineer Bengaluru
🏢 NXP Semiconductors
📍 Bengaluru