Databricks engineer

4 weeks ago

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, Py Spark, 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 Py Spark . 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, Py Spark, 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, My SQL, SQL Server, Redshift, Postgre SQL, Netezza Programming & Tools: Python, Unix Shell Scripting, Py Spark, Databricks, Snap Logic, Snowflake, SQL Developer, PL/SQL Developer, My SQL Workbench, DBeaver, Py Charm Cloud & Scheduling: AWS S3, AWS Lambda, AWS EC2, Active Batch Data Analytics: Power BI, Google Data Studio

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