Azure Data Architect – Manager
Full-Time @Ernst & Young (EY) posted 9 months ago Shortlist Email JobJob Detail
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Job ID 55579
Job Description
Data and Analytics (D&A) – Manager – Azure Data Architect
As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
Your key responsibilities
- Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies, including data acquisition, transformation, analysis, Modelling, Governance & Data management skills
- Interact with senior client technology leaders, understand their business goals, create, propose solution, estimate effort, build architectures, develop and deliver technology solutions
- Define and develop client specific best practices around data management within a cloud environment
- Recommend design alternatives for data ingestion, processing and provisioning layers
- Design and develop data ingestion programs to process large data sets in Batch mode using ADB, ADF, PySpark, Python, Snypase
- Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies
- Have managed team and have experience in end to end delivery
- Have experience of building technical capability and teams to deliver
Skills and attributes for success
- Strong understanding & familiarity with all Cloud Ecosystem components
- Strong understanding of underlying Cloud Architectural concepts and distributed computing paradigms
- Experience in the development of large scale data processing.
- Hands-on programming experience in ADB, ADF, Synapse, Python, PySpark, SQL
- Hands-on expertise in cloud services like AWS, and/or Microsoft Azure eco system
- Solid understanding of ETL methodologies in a multi-tiered stack with Data Modelling & Data Governance
- Experience with BI, and data analytics databases
- Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
- Experience in Enterprise grade solution implementations.
- Experience in performance bench marking enterprise applications
- Strong stakeholder, client, team, process & delivery management skills