Databricks Engineer

3 weeks ago

Delhi, India RapidBrains Full time
Job Title: Databricks Engineer
Experience: 7.5+ Years
Location: Remote (IST Shift)
Contract Type: Long-Term
Overview
We are seeking an experienced Databricks Engineer with 7.5+ years of expertise in database development, ETL, and cloud-based data solutions. The ideal candidate should be highly skilled in SQL, Databricks, PySpark, and cloud technologies, with proven experience in designing scalable data workflows, optimizing performance, and delivering enterprise-grade data solutions.
Responsibilities
- Design, develop, and optimize database solutions for enterprise applications.
- Build and manage ETL pipelines and large-scale data processing workflows using Databricks and PySpark.
- Implement data modeling, schema design, and performance tuning for high-volume data systems.
- Develop and maintain cloud-based workflows with AWS (S3, Redshift, Lambda, EC2).
- Automate ETL processes and improve system efficiency through workflow automation.
- Perform query optimization, indexing, and stored procedures for database performance improvements.
- Lead data migration and warehousing projects, ensuring smooth data integration.
- Develop dashboards and analytics using Power BI and Google Data Studio.
Requirements
- 7.5+ years of hands-on experience in data engineering, ETL, and databases.
- Proven expertise in Databricks, PySpark, and Snowflake.
- Strong knowledge of AWS cloud services (S3, Lambda, EC2).
- Experience with Active Batch or similar scheduling tools.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work in fast-paced, remote environments.
Key Skills
Databases: Oracle PL/SQL, MySQL, SQL Server, Redshift, PostgreSQL, Netezza
Programming & Tools: Python, Unix Shell Scripting, PySpark, Databricks, SnapLogic, Snowflake, SQL Developer, PL/SQL Developer, MySQL Workbench, DBeaver, PyCharm
Cloud & Scheduling: AWS S3, AWS Lambda, AWS EC2, Active Batch
Data Analytics: Power BI, Google Data Studio

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