Description

You will design, build, and maintain scalable data pipelines and warehouse platforms.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT pipelines using GCP and Azure Databricks (PySpark).
• Ingest and transform structured and unstructured data from multiple sources.
• Implement data models, including star schemas and slowly changing dimensions.
• Ensure data quality, validation, and governance standards.
• Integrate pipelines with Power BI, data science models, and enterprise applications.

Required Skills

• 5+ years developing and deploying data pipelines.
• 4+ years building data warehouse platforms with star schemas.
• 4+ years strong SQL and stored procedures.
• 4+ years creating real-time and near real-time integration pipelines.
• 4+ years with Python, Java, or Scala.
• Experience with XML, JSON, Avro, and flat files.

Preferred Skills

• 3+ years Databricks and Delta table knowledge.
• Experience with Azure Data Services.
• Background in retail business use cases.

Key Skills

Education

Any Graduate