We're looking for Azure Data Engineers

Responsibilities:

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.

(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the prospect are managed by the respective hiring team.)

📌 Azure Data Engineer (India)
🏢 Scoutit
📍 India