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, etc.
- Hands on experience in programming like python/pyspark
- 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 to 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
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.