Senior Data Engineer – Cloud Platforms (Azure | AWS)

Data Engineer – Cloud Platforms (Azure | Aws)

We are seeking an experienced Data Engineer with over 4 years of expertise in designing and implementing modern, cloud-based data solutions, primarily on Microsoft Azure , with additional exposure to AWS . The ideal candidate is skilled in building scalable data platforms, orchestrating efficient data pipelines, and enabling analytics through Microsoft Fabric and related technologies.

Technical Canvas

Cloud Platform Expertise: Strong experience across Microsoft Azure and AWS , with an emphasis on the Azure ecosystem.

• Azure Focus: Hands-on with Azure Data Factory (ADF) , Azure Databricks , Azure Synapse Analytics , Azure Data Lake Storage (ADLS) , and Azure SQL Database .
• Familiarity with Microsoft Fabric, integrating Data Pipelines , Dataflows Gen2 , Lakehouses , and Notebooks to streamline ingestion, transformation, and reporting.
• AWS Exposure: Understanding of AWS Glue , S3 , Lambda , and Redshift for data processing and analytics.

Data Engineering Excellence: Proven ability to design, build, and maintain ETL/ELT pipelines , data models , and data warehouses using modern Azure-based architectures and Fabric workflows.

Analytics & Visualization: Strong experience with Power BI , especially within the Fabric environment , to deliver dynamic data models, semantic layers, and interactive dashboards.

Programming & Automation: Proficient in SQL and Python , developing reusable, scalable scripts for data transformation, validation, and orchestration.

Database Systems: Experienced with Azure SQL , PostgreSQL , MySQL , and Microsoft SQL Server , ensuring data accuracy, security, and optimal performance.

Big Data & Advanced Processing: Hands-on experience with Azure Databricks (Spark) and Delta Lake , leveraging distributed computing for large-scale data processing and analytics.

Version Control & DevOps: Proficient in Git , with exposure to CI/CD practices for deploying and maintaining data pipelines and Fabric artifacts in multi-environment setups.

Core Attributes

• Analytical thinker who translates complex business needs into data-driven solutions.
• Excellent communication and stakeholder management skills across business and technical teams.
• Collaborative, proactive, and detail-oriented professional who thrives in fast-paced environments.