Data Ops Engineer

NXP

Bangalore, India
Databricks spark and delta lake
Python pyspark and sql
Large-scale batch and streaming data processing
Build and maintain data pipelines on Databricks using Spark and Delta Lake to support semiconductor manufacturing data integration

Job Summary

  • Build and maintain data pipelines on Databricks using Spark and Delta Lake to support semiconductor manufacturing data integration.
  • 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 in data operations.

Matching Summary

Build and maintain data pipelines on Databricks using Spark and Delta Lake to support semiconductor manufacturing data integration.

Skills & Requirements

Must-have

  • Databricks Spark and Delta Lake
  • Python PySpark and SQL
  • Large-scale batch and streaming data processing
  • Cloud platforms AWS data services

Nice-to-have

  • Semiconductor manufacturing or IoT data processing
  • Streaming technologies Kafka and IoT pipelines
  • CI/CD tools GitHub Actions and Jenkins
  • Orchestration frameworks Airflow and Prefect
  • Infrastructure-as-Code Terraform and CloudFormation

Key Requirements

  • Minimum 5 years experience with Bachelor’s degree or 3 years with Master’s degree

Work Rights

Not specified

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