- Implement robust Azure data solutions, leveraging Data Factory and Data Lake to streamline data processing workflows and enhance overall system efficiency.
- Develop and optimize Python and PySpark scripts to transform raw data into actionable insights, enabling data-driven decision-making across the organization.
- Design and execute comprehensive data migration strategies, ensuring seamless transition of large-scale datasets while maintaining data integrity and minimizing downtime.
- Craft sophisticated SQL queries and stored procedures to extract, manipulate, and analyze complex datasets, providing valuable insights to stakeholders.
- Collaborate with cross-functional teams to identify and solve complex data challenges,



applying advanced problem-solving skills to overcome technical obstacles and drive project success.
- Implement and maintain data quality processes, ensuring the accuracy, consistency, and reliability of data across all Azure platforms.
- Continuously optimize data pipelines and storage solutions to enhance performance, reduce costs, and improve scalability of Azure-based data systems.
- Develop comprehensive documentation and conduct knowledge transfer sessions, fostering a culture of continuous learning and improvement within the team.

Skills: Pyspark, Sql, Azure, Python

Experience: 5.00-8.00 Years

📌 Azure Data Engineer (India)
🏢 Techolution India Private
📍 India