Description

You will design and implement data warehousing and data lake solutions on cloud platforms.

Responsibilities

• Design schemas and dimensional data models to support business requirements.
• Build and maintain ETL/ELT pipelines using tools like ADF, Informatica, or Talend.
• Develop data processing logic using PySpark and Spark SQL.
• Implement data warehousing solutions using Azure Synapse, Azure SQL, Redshift, Snowflake, or BigQuery.
• Apply data warehouse best practices and development standards across the lifecycle.

Required Skills

• 5+ years of experience in modern data engineering, data warehousing, or data lakes.
• Proven expertise in SQL and schema design.
• Strong experience with Databricks and Spark.
• Proficiency in PySpark and Spark SQL.
• Hands-on experience with Azure Synapse and Azure SQL.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Ability to work independently to meet project objectives.
• Any Graduate degree.

Preferred Skills

• Knowledge of Power BI, Azure DevOps, and CI/CD deployments.
• Experience with SAP ECC, S/4, and Hana.
• Familiarity with Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, or Cosmos DB.
• Knowledge of cloud migration methodologies.

Key Skills

Education

Any Graduate