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EY GDS – Data Technical Manager
We’re looking for candidates with strong technology and data understanding in the 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 Engineering team.
Your key responsibilities
• Develop & deploy Azure ADF and Databricks in a cloud environment using Azure Cloud services and Databricks
• Cloud architecture and ETL/ELT design, lead development, and deployment
• Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
• Collaborate with cross-functional teams to manage project timelines and deliverables
• Lead and mentor a team of data engineers, ensuring high-quality delivery and fostering professional growth

Skills and attributes for success
• 15+ 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 platforms like AWS or GCP
• Familiar with data warehousing concepts
• Familiar with at least 1 business intelligence tool such as Power BI, Looker, Qlik, Tableau, etc.
• Hands-on experience in Databricks Unity Catalog
• Hands-on experience in Data modelling techniques and best practices for data warehousing
• Hands-on experience on Spark/PySpark
• Hands-on experience in programming languages such as Python/Scala
• Knowledge in DevOps and CI/CD deployments
• Strong analytical skills and enjoys solving complex technical problems
• Proven ability to lead teams, manage resources, and drive projects to successful completion

To qualify for the role, you must have
• A computer science graduate or equivalent. 15+ years of IT industry experience with at least 5 years in the role applying for
• Working experience in an Agile-based 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 life cycle best practices
• Experience in enterprise-grade solution implementations & in converting business problems/challenges to technical solutions considering security, performance, scalability, etc.
• Excellent debugging and optimization skills
• Excellent communication/presentation skills both written and verbal
• Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Client management skills
• Demonstrated leadership experience with the ability to manage and mentor team members effectively

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