Key Responsibilities:

• Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems adddress any issues or bottlenecks in existing pipelines.

• Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.

• Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.

• Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements

• Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc. Candidate Profile:





• 4-9 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.

• Bachelors degree in computer science, Information Technology, or related field.

• Solid proficiency in PySpark, Python, SQL.

• Strong experience in data modeling, ETL/ELT pipeline development, and automation

• Hands-on experience with performance tuning of data pipelines and workflows • Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.

• Experience with data modeling, ETL processes, Delta Lake and data warehousing.

📌 Azure Databricks Data Engineer -Immediate Joiner (Gurugram)
🏢 EXL
📍 Gurugram