Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
About the role
- Data Engineer deploying Azure Databricks solutions at EY, leading a team and optimizing data models. Collaborating with clients to meet business needs in a cloud environment.
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.
- Lead and mentor a team of data engineers and analysts, ensuring high-quality delivery and fostering professional growth.
- Collaborate with cross-functional teams to manage project timelines and deliverables.
Requirements
- 9 to 14 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, Cosmos DB, etc.
- Familiar with cloud services like Azure.
- Hands-on experience on Spark/PySpark.
- Hands-on experience in programming languages such as Python/Scala.
- Knowledge 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.
- Proven ability to lead teams, manage resources, and drive projects to successful completion.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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