AI And DATA - Data Engineer

EY GDSData and Analytics - D and A – Azure Data Engineer

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

• 3 to 8 years of Experience in developing 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
• Well versed 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

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