Data Ops Engineer

Experience: Not Available to Not Available years

Location: Bangalore, Karnataka, India

Skills: Databricks, Spark, Delta Lake, Notebooks, Python, PySpark, SQL, AWS, Kafka, GitHub Actions, Jenkins, Airflow, Prefect, Terraform, CloudFormation

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 setting.
• 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... #LI-29f4

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