Company:IT Services Organization Key

Skills:
Databricks, Python, Spark, Kubernetes Roles and

Responsibilities:
• Design, develop, and maintain batch and near-real-time data pipelines using Apache Spark, Python, and Databricks.
• Build scalable data engineering solutions across Microsoft Azure and Google Cloud Platform environments.
• Develop data transformations, ingestion workflows, and curated datasets for reporting and analytical workloads.
• Troubleshoot data pipeline failures, improve reliability, and resolve data quality and processing issues.
• Collaborate with data architects, analytics teams, and application engineers to deliver production-grade data platforms. Skills Required:
• 6-14 years of relevant data engineering experience.




• Strong hands-on experience with Apache Spark and Python for distributed data processing.
• Practical experience developing solutions using Databricks.
• Experience designing cloud-based data engineering solutions on Azure or Google Cloud Platform.
• Ability to develop scalable data pipelines, integrations, transformations, and analytical data stores. Positive to Have:
• Experience with Kubernetes and containerized data workloads.

Education:
B.
Tech, M.
Tech, BCA, or B.
Sc. in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Azure Data Engineer_105438 (India)
🏢 MyCareernet
📍 India