Data Engineer

AtliQ Technologies

What You ll Work On

• Design and optimize data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.
• Architect data lakes and warehouses on Azure Data Lake Storage and Synapse.
• Implement real-time and batch processing with Stream Analytics, Event Hubs, and Databricks Streaming.
• Ensure data quality, governance, and lineage through validation and monitoring.
• Build and maintain reliable, scalable ETL/ELT processes.
• Manage Azure Cosmos DB, Azure SQL Database, and other data stores.
• Prepare and serve data for ML models and GenAI applications.
• Support BI/reporting needs via Power BI-ready data models.
• Own data infrastructure, identify bottlenecks, and drive improvements.

What We Value

• Strong hands-on Azure data stack experience: Data Factory, Synapse, Databricks, Data Lake Storage.
• Proficiency in SQL and Python or Scala for data transformation.
• Experience building production-grade ETL/ELT pipelines at scale.
• Familiarity with real-time processing: Stream Analytics, Event Hubs, or Kafka on Azure.
• Understanding of data modeling, warehousing, and dimensional modeling.
• Experience with Cosmos DB or other NoSQL databases.
• Knowledge of data governance and cataloging (Microsoft Purview).
• Familiarity with CI/CD for data pipelines (Azure DevOps or GitHub Actions).
• Basic Power BI proficiency (reports, dashboards, visualizations).
• Must actively use AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, etc.).
• Strong problem-solving and communication skills.