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EY GDS – Data and Analytics (D&A) – Azure Databricks - Staff

We’re looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

 

Your key responsibilities

Develop & deploy azure databricks in a cloud environment using Azure Cloud services. ETL design, development, and deployment to Cloud Service. Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams. Design and optimize model codes for faster execution.

 

Skills and attributes for success

1 to 3 years of Experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions. 1-3 years Hands on experience in programming like python/pyspark. (Must have) Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, etc. Need to have good knowledge on DWH concepts and implementation knowledge on Snowflake Well versed in DevOps and CI/CD deployments. (Good to have) Must have hands on experience in SQL and procedural SQL languages. Strong analytical skills and enjoys solving complex technical problems.

 

To qualify for the role, you must have

Graduate or equivalent with 1 to 3 years of industry experience Have working experience in an Agile base delivery methodology (Preferable) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Strong analytical skills and enjoys solving complex technical problems Proficiency in Software Development Best Practices Excellent debugging and optimization skills Excellent communicator (written and verbal formal and informal).

 

 

 

 

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