Digital : Microsoft Azure / Databricks
2 weeks ago
Key Skills: Pyspark, Azure databricks, Azure datafactory, Azure Datalake, Azure synapse.
Must-Have:
Azure Databricks – E2
Pyspark – E2
Python – E2
SQL - E2
Effective Communication – L2
Responsibility of / Expectations from the Role:
Designing and implementing efficient data ingestion pipelines from multiple sources (relational/non-relational)
Integrating the end-to-end data pipeline to take data from different source systems to target data repositories ensuring the quality and consistency of data
Processing performance analysis and code optimization
Hands-on experience with Databricks and advanced SQL. Strong knowledge of data engineering projects. Excellent communication, problem-solving, and analytical skills
Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks
Proven experience in designing and implementing data warehousing and ETL processes
Conduct training sessions to educate customer/team on platform best practices and capabilities.
Enforce security policies, access controls, code deployment
Experience with Reporting tools such as PowerBI is a plus
Experience with cloud-based data platforms (Azure Data Factory/DevOps) is a plus
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