Data Ops Engineer

NXP Semiconductors

Bangalore permanent

Posted: February 18, 2026

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Quick Summary

Develop and maintain efficient data pipelines on Databricks using Spark and Delta Lake to integrate semiconductor manufacturing data sources, ensuring data quality, consistency, and scalability.

Required Skills

Databricks Spark Delta Lake Python PySpark SQL ETL ELT AWS Cloud Platforms Large-scale Data Processing Streaming Technologies

Job Description

Key Responsibilities
−Build and maintain data pipelines on Databricks using Spark and Delta Lake.
−Integrate semiconductor manufacturing data sources (MES, equipment logs, yield data) into the Lakehouse environment.
−Develop efficient ETL/ELT processes to ensure data quality, consistency, and scalability.
−Collaborate with manufacturing engineers and data scientists to deliver clean, reliable datasets for analytics and modeling.
−Document workflows and processes to ensure reproducibility and transparency.

Required Skills
−Hands-on experience with Databricks (Spark, Delta Lake, Notebooks).
−Strong proficiency in Python (PySpark) and SQL for data processing and transformation.
−Experience with large-scale data processing (batch and streaming).
−Familiarity with cloud platforms (AWS) and their core data services.
−Requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree.

Preferred Qualifications
−Background in semiconductor manufacturing or IoT data processing.
−Experience with streaming technologies (Kafka, IoT pipelines).
−Exposure to CI/CD tools (GitHub Actions, Jenkins) and orchestration frameworks (Airflow, Prefect).
−Knowledge of Infrastructure-as-Code (Terraform, CloudFormation) is a plus.

More information about NXP in India...

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