Databricks Data Engineers-18th Aug(Tues)-6+yrs-Video Interview

Job description

Azure DataBricks/Spark (Mandatory) • Azure Data Factory (Mandatory) • Responsible for both developing and supporting data products alongside existing data teams • Deliver outcomes and as well as support products in production (80/20 split) • Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Synapse, and DBT. • Implement data transformation, data modeling, and data quality best practices. • Develop and optimize SQL-based transformations in Azure Synapse. • Ensure data integrity, security, and governance in compliance with best practices. • Collaborate with data analysts, data scientists, and business stakeholders to understand