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About the role
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
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
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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
What they ask for vs. your profile
Must have
Azure
Databricks
Critical thinking
Leadership
Spark
Training and coaching
AWS
Agile
CI/CD
Communication
EY | Building a better working world
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.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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