Data Engineer/Databricks

Databricks Engineer-Databricks

Primary skills: Databricks, PySpark, SQL

Secondary skills: Advanced SQL, Azure Data Factory, and Azure Data lake.

Experience: 4 to 10 Year

Responsibilities

Design and develop ETL pipelines using ADF for data ingestion and transformation.

Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.

Write SQL, Python, and PySpark code for efficient data processing and transformation.

Understand and translate business requirements into technical designs.

Develop mapping documents and transformation rules as per project scope.

Communicate project status with stakeholders, ensuring smooth project execution.

Requirements

4-10 years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.

Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.

Experience in SQL, Python, and PySpark for data transformation and processing.

Familiarity with DevOps and CI/CD deployments.

Experience in the insurance or financial industry is preferred

Work Location-Hyderabad

Interested Candidate Please share your resume to [Confidential Information]