Databricks Data Engineer - Spark, Delta Lake, Azure

Tata Consultancy Services

Raleigh (NC)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Job summary

Tata Consultancy Services in Raleigh, NC is seeking a Data Engineer to design, develop, and operate scalable ETL/ELT pipelines using Databricks, Spark, and PySpark. You will build data transformations and analytics solutions in SQL and Delta Lake, collaborating with product owners, data architects, analysts, and business teams.

You'll ensure robust data operations on Azure-based cloud platforms, implement orchestration and data quality controls, and maintain CI/CD pipelines for notebooks and

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of experience in data engineering or ETL development.
  • Strong SQL, Python/Scala, and analytical skills.

Responsibilities

  • Design, develop, and deploy scalable ETL/ELT pipelines using Databricks, Spark, and PySpark.
  • Build and optimize SQL-based data transformation and analytics solutions.
  • Collaborate with product owners, data architects, analysts, and business teams on data models and workflows.
  • Develop Delta Lake structures and enterprise data pipelines.
  • Implement job orchestration, monitoring, and data quality controls.
  • Maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
  • Support Azure-based cloud data platforms and ensure reliable, high-performing data operations.

Skills

Databricks
Apache Spark
SQL
ETL/ELT development
Data modeling
Python or Scala
Azure cloud platforms
Production support and monitoring

Education

Bachelor's degree in Computer Science

Tools

Databricks
Apache Spark

Job description

Tata Consultancy Services in Raleigh, NC is seeking a Data Engineer to design, develop, and operate scalable ETL/ELT pipelines using Databricks, Spark, and PySpark. You will build data transformations and analytics solutions in SQL and Delta Lake, collaborating with product owners, data architects, analysts, and business teams.

You'll ensure robust data operations on Azure-based cloud platforms, implement orchestration and data quality controls, and maintain CI/CD pipelines for notebooks and

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