Company:IT Services Organization Key

Skills:
Azure Databricks, Databricks, Azure, Python, Spark Roles and

Responsibilities:
• Design and develop scalable batch and streaming data processing solutions using Spark and Python.
• Build, maintain, and enhance data pipelines and transformation workflows in Databricks and Azure Databricks.
• Develop data engineering solutions for high-volume datasets while ensuring data quality, reliability, and maintainability.
• Integrate data from multiple sources and implement robust ingestion, transformation, and validation workflows.
• Investigate pipeline issues, improve processing efficiency, and support production data workloads across Azure environments. Skills Required:
• 6
- 9 years of relevant experience in big data engineering and cloud data platforms.




• Strong hands-on experience with Apache Spark and Python for data engineering and distributed data processing.
• Practical experience developing solutions on Microsoft Azure and Azure Databricks.
• Experience working with Databricks for data pipelines, transformations, and large-scale processing.
• Ability to design reliable data workflows and support scalable production data platforms. Positive to Have:
• Additional hands-on experience with Apache Spark-based data engineering solutions.

Education:
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Big Data Engineer_105542 (Gurugram)
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