Azure/AWS/Databricks Data Engineer
Core
Designing and implementing data warehouses, data lakes, data models, and pipelines for retail industry AI-powered solutions and analytics.
Role type
Senior Cloud Data Engineer
Builds
Data warehouses, data lakes, ETL pipelines, and analytics solutions for retail clients
Domain
Retail, Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Apache Spark, Azure Data Factory, AWS Glue, Data Modeling, ETL development, Cloud platform management
Preferred skills
Azure Synapse Analytics, AWS S3, AWS Kinesis, Azure Monitor, Terraform, ARM templates, CI/CD
Technologies
Azure, AWS, Databricks, Spark, SQL, Python, Jira, Confluence, Git
Responsibilities
Analyzing, designing, and implementing data warehouses and data lakes; Building ETL logic using SQL or Spark; Working with data platforms on AWS and Azure; Building analytics solutions for clients; Collaborating in Agile teams
Seniority
Mid-to-Senior, hands-on IC