Posted:1 week ago|
Platform:
Work from Office
Full Time
Role & responsibilities Develop and maintain scalable data pipelines using Databricks and PySpark . Collaborate with cross-functional teams to deliver effective data solutions. Optimize ETL processes for enhanced performance and reliability. Ensure adherence to data quality and governance best practices. Deploy and manage data solutions in cloud environments ( Azure/ AWS ). Preferred candidate profile Proven experience as a Data Engineer , with a focus on Databricks and PySpark . Strong proficiency in Python and SQL . Experience with cloud platforms such as Azure(mainly) or AWS . Familiarity with data warehousing and integration technologies .
Stratosphere It Services
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