Azure Data Engineer

If you're passionate about clean, scalable data architecture and love working independently on high-impact projects, we’d love to hear from you.

• Design and manage scalable, secure, and high-performing Azure Synapse data warehouses.
• Refactor and optimize existing schemas, tables, and structures to support evolving reporting and analytics needs.

• Develop and manage end-to-end data pipelines using Azure Data Factory (ADF) to ingest, stage, and transform data from diverse sources.
• Automate data refresh schedules, dependency handling, and error logging.

• Integrate with third-party APIs, SaaS platforms, and internal systems to unify structured and semi-structured data into a central data platform.
• Standardize data ingestion processes and develop reusable components for future integrations.

• Write, refactor, and maintain complex SQL queries, stored procedures, views, and data transformation logic.
• Conduct performance tuning and query optimization across datasets and layers.

• Ensure data integrity and quality across all pipelines and processes.
• Maintain clear and up-to-date documentation of schemas, data flows, interfaces, and configuration.
• Support data governance initiatives, including lineage, cataloging, and metadata tracking.

• Work closely with analysts, business stakeholders, and application teams to understand data needs and translate them into scalable solutions.
• Provide operational support for the platform and proactively resolve data-related issues.

Skills & Experience Required

• Advanced proficiency in SQL, including performance tuning and complex joins
• Strong hands-on experience with:
• Azure Synapse Analytics
• Azure Data Factory (ADF)
• Azure Blob Storage
• SQL Server Management Studio (SSMS)
• Solid understanding of ELT/ETL architecture and best practices
• Experience integrating data from REST APIs, webhooks, or other external systems
• Ability to work independently with strong attention to detail and process documentation