Risk Consulting - Digital Risk - Senior - Data engineer

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Job Title: Azure Data Engineer

Experience: 4-7 Years

About the Company:

EY is a leading global professional services firm offering a broad range of services in assurance, tax, transaction, and advisory services.

We’re looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability.

Your Key Responsibilities

• Develop & deploy azure databricks in a cloud environment using Azure Cloud services
• ETL design, development, and deployment in Azure Data Factory.
• 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 7 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.
• Hands on experience on spark
• 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

• 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
• 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
  
  

Education:

• BS/MS degree in Computer Science, Engineering, or a related subject is required.
• EY is committed to providing equal opportunities to all candidates. We welcome and encourage applications from candidates with diverse experiences and backgrounds.
  
  

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.