Key Responsibilities :

- Design and build secure, scalable, and reliable data pipelines using Azure Data Factory, Synapse Analytics, and other Azure services.

- Develop ETL/ELT processes to ingest data from multiple sources including APIs, databases, and flat files.

- Work with structured and unstructured data to support analytics, data science, and business intelligence needs.

- Optimize data storage and performance using Azure Data Lake Storage, SQL Database, and Synapse.

- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.

- Implement and maintain CI/CD pipelines for data workflows using Azure DevOps or similar tools.

- Ensure data governance, quality, and security standards are met across all data solutions.

- Monitor and troubleshoot data pipelines, ensuring minimal downtime and high reliability.

Required Skills & Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- 3+ years of experience as a Data Engineer, with at least 2+ years on Azure.

- Strong knowledge of Azure Data Factory, Azure Synapse Analytics, MySQL, PySpark and DataBricks.

- Proficiency in SQL, Python for data transformation and scripting