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# Databricks Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Raleigh, NC, United States
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Cloud Services, DataOps, SQL Databases, Scripting, Apache Spark, Data Lakes, Pyspark, Data Management, Data Pipelines, Databricks, Programming Languages
- **Published:** August 1, 2026
- **Apply:** https://www.careerbuilder.com/job-details/databricks-engineer-raleigh-nc--ccbfd2ac-5be4-4fbd-b1e8-f7b287de9def

## About the Role

Apache Spark, Architectural Analysis, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Modeling, Data Quality, Database Extract Transform and Load (ETL), Microsoft Windows Azure, Operational Support, Performance Modeling, Performance Tuning/Optimization, Production Support, Python Programming/Scripting Language, Quality Monitoring, SQL (Structured Query Language), Scala Programming Language, Scalable System Development

## Description

* Databricks and Apache Spark
 * SQL and data analysis
 * ETL/ELT development and optimization
 * Data modeling and performance tuning
 * Python or Scala
 * Azure cloud-based data platforms
 * Production support and operational monitoring

Roles & 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.


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