Company:IT Services Organization Key

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

Responsibilities:
• Design, develop, and maintain scalable batch and streaming data pipelines using Apache Spark and Python.
• Build and operationalize data engineering workloads on Databricks across cloud environments.
• Develop data solutions using services and platform capabilities across Google Cloud Platform and Microsoft Azure.
• Implement data quality controls, transformation logic, error handling, and pipeline recovery mechanisms.
• Collaborate with data analysts, architects, and application teams to deliver governed and production-ready datasets. Skills Required:
• 6-14 years of relevant experience in data engineering and cloud data platforms.




• Solid professional experience with Apache Spark and Python for large-scale data processing.
• Hands-on experience designing and implementing solutions on Databricks.
• Practical experience with Google Cloud Platform and Microsoft Azure data environments.
• Proficiency in developing, testing, troubleshooting, and supporting production data pipelines and integrations. Good to Have:
• Experience with Google BigQuery for analytical data warehousing and query development.

Education:
B.
Tech or equivalent technical degree.

📌 Data Engineer_105432 (India)
🏢 MyCareernet
📍 India