Senior Data Engineer – Azure & Snowflake

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Skills you'll use

What you'll do

• Understand business requirements, architecture documents, and translate them into scalable technical solutions.
• Lead end-to-end development of Azure Data Factory (ADF) pipelines and enterprise data workflows.
• Design and develop scalable ELT/ETL frameworks using Azure services and Snowflake.
• Build and optimize analytical layers, dimensional models, data marts, and semantic data structures in Snowflake.
• Create reusable, maintainable, and performance-optimized SQL and Python-based data transformation frameworks.
• Drive data quality, validation, reconciliation, and governance processes across data platforms.
• Conduct detailed code reviews, design reviews, and ensure engineering best practices are followed.
• Troubleshoot complex production issues, optimize pipeline performance, and reduce data processing latency.
• Participate actively in solution architecture discussions and provide technical recommendations.
• Lead technical demos, walkthroughs, sprint reviews, and stakeholder presentations.

Who can apply

• Mandatory Skills
• Advanced SQL (complex joins, CTEs, window functions, query optimization, stored procedures)
• Python for data engineering and automation
• Azure Data Engineering Services:
• Azure Data Factory (ADF)
• Azure Data Bricks
• Azure Synapse Analytics
• Snowflake Data Warehouse Development
• Data Modeling (Star Schema, Snowflake Schema, Dimensional Modeling)
• Performance tuning and optimization

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