Description

You will design and build scalable data pipelines and data lake/warehouse solutions on Azure and Databricks.

Responsibilities

• Design and build scalable data pipelines and data lake/warehouse solutions using Azure and Databricks.
• Develop and maintain ETL/ELT processes using Azure Data Factory, Talend, or Informatica.
• Implement dimensional data modeling and schema design using SQL.
• Manage and optimize data storage and retrieval using Azure Synapse, Azure SQL, Snowflake, Redshift, or BigQuery.
• Process big data using Spark, PySpark, and Spark SQL.

Required Skills

• 5+ years of experience in data engineering, data warehousing, or data lake technologies.
• Extensive experience with the Azure cloud platform.
• Expertise in SQL, data modeling, and data warehouse architecture.
• Hands-on experience with Databricks, Spark, and PySpark/Spark SQL.
• Proficiency with ETL/ELT tools such as Azure Data Factory (ADF), Talend, or Informatica.
• Experience with Azure Synapse, Azure SQL, Snowflake, Redshift, or BigQuery.
• Any Graduate degree.

Preferred Skills

• Knowledge of Azure Event Hub, IoT Hub, Stream Analytics, Cosmos DB, or Azure Analysis Services.
• Familiarity with SAP ECC, S/4HANA, or HANA data sources.
• Intermediate skills in Power BI, Azure DevOps, CI/CD pipelines, and cloud migration strategies.

Key Skills

Education

Any Graduate