Databricks Engineer
Tata Consultancy Services Limited
Raleigh, NC, United States
10 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $140,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+11 more
Cloud Services
DataOps
SQL Databases
Scripting
Apache Spark
Data Lakes
Pyspark
Data Management
Data Pipelines
Databricks
Programming Languages
Job 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.
Requirements
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
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