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EY GDSData and Analytics (D&A) Managed services - Azure Data Engineer(Senior)
Were 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
- SupportDevelop & 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
- 4 to 8 years of Experience in developing or supporting enhancements in data ingestion data processing and analytical pipelines for big data relational databases NoSQL and data warehouse solutions
- 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 Azure Data Catalog Cosmo Db etc.
- Familiar with cloud services like Azure
- Hands on experience on spark/pyspark
- Hands on experience in programming like python/scala
- Familiar in DevOps and CI/CD deployments
- Must have hands on experience in SQL and procedural SQL languages
- Strong analytical skills and enjoys solving complex technical problems
- Have production support expertise and willingness to work in 24*7 support if required.
To qualify for the role you must have
- Be a computer science graduate or equivalent with 3-8 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
- Experience in Enterprise grade solution implementations & in converting business problems/challenges to technical solutions considering security performance scalability etc
- Excellent communicator (written and verbal formal and informal).
- Participate in all aspects of solution delivery life cycle including analysis design development testing production deployment and support.
- Client management skills
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