
Senior Data Engineer
1 day ago
We are seeking a highly skilled professional to join our team as a Senior Data Engineer. As a key member of our data engineering team, you will be responsible for designing and deploying Azure Databricks in a cloud environment using Azure Cloud services.
The ideal candidate will 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.
- Design and optimize model codes for faster execution.
- Develop & deploy Azure Databricks in a cloud environment using Azure Cloud services.
- ETL design, development, and deployment to Cloud Service.
You will also be expected to interact with Onshore, understand their business goals, contribute to the delivery of the workstreams.
This is an exciting opportunity to work on high-profile projects and collaborate with a talented team of professionals.
Required Skills and QualificationsTo qualify for this role, you must have:
- A strong background in data engineering with 3-7 years of industry experience.
- Extensive hands-on experience in programming languages like Python/PySpark.
- Excellent debugging and optimization skills.
- Experience in Enterprise-grade solution implementations & in converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
- Strong analytical skills and enjoys solving complex technical problems.
We offer a range of benefits including:
- Support, coaching, and feedback from experienced colleagues.
- Opportunities to develop new skills and progress your career.
- Flexibility to handle your role in a way that's right for you.
At EY, we're dedicated to helping our clients succeed. We provide a collaborative and supportive work environment that encourages learning and growth.
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