Description

Design, build, and operationalize large-scale enterprise data warehouse solutions across on-premises and cloud environments.

You will own the migration of legacy data warehouses to Azure, AWS, or Google Cloud, ensuring robust architecture and performance.

Responsibilities

• Architect and migrate on-premise data warehouses to Azure, AWS, or Google Cloud platforms.
• Design and build end-to-end data pipelines from ingestion to consumption within big data architectures.
• Develop enterprise data models using 3NF, Data Vault, NoSQL, and dimensional modeling techniques.
• Manage data governance, metadata, master data, lineage, and security protocols across the data lifecycle.
• Perform performance tuning and quality assurance for BI and DW infrastructure.

Required Skills

• 8+ years of experience in enterprise data warehouse design and operationalization.
• Hands-on experience with Azure SQL, Azure Purview, Azure Stream Analytics, and Azure Event Hub.
• Proficiency with AWS S3, AWS Redshift, and AWS Glue.
• Expertise in ETL, data modeling, and data lake/lakehouse architectures.
• Experience with Big Data technologies including Hadoop, Hive, Spark, and Databricks.
• Ability to build data pipelines using Java, Python, or Scala.
• Practical knowledge of data marts, data lakes, and profiling tools.

Preferred Skills

• Strong analytical skills for re-architecting legacy data systems.
• Experience in pre-sales environments, including presenting technical solutions to audiences.

Key Skills

Education

Any graduate