Detailed JD (Roles and Responsibilities)
- Design and develop scalable ETL pipelines using Azure Databricks, PySpark, and Azure Data Factory to ingest, transform, and integrate data from multiple internal and external sources.
- Ensure data quality, consistency, and reliability across complex data workflows and large-scale datasets.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver efficient data solutions.
- Optimize data processing performance and implement best practices for data engineering in cloud environments.
- Work in Agile development environments, contributing to sprint planning, reviews, and continuous integration and delivery cycles.
- Good understanding of retail or consumer business process will be a plus
- Experience in working in Agile project development
Very strong communication skills and client management skills.
Total Experience
6+ Years
Relevant Experience
5+ Years
Mandatory skills
PySpark, Azure Databricks, ADF, Azure Synapse.
Desired skills
SQL
Domain (Industry)
Retail – Media Campaign data Analytics