EY - GDS Consulting - AI and DATA - Databrick A... @ EY
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About EY AI & Data Architect Manager
At EY, we’re all in to shape your future with confidence. Join a globally connected powerhouse where diverse teams work together to build a better working world. This role is part of EY's GDS Consulting AI & DATA, focusing on leveraging integrated advisory services in the financial services domain.
The Opportunity
We are seeking a Manager – Architect with expertise in designing and implementing end-to-end data platforms using technologies like Databricks, Snowflake, Hadoop, or PySpark, primarily in the Financial Services space.
Primary Skills and Responsibilities
- Design and implement Databricks-based data platforms ensuring performance, scalability, and compliance.
- Work with core tech stack including Databricks, Spark, Delta Lake, Python/PySpark, SQL, and Azure services.
- Utilize technical expertise in Neo4j, data modelling, ETL, batch/streaming pipelines, and data governance.
- Prepare detailed architecture diagrams, documentation, and lead best practices for data integration.
- Engage in the complete Big Data solution life cycle including analysis, design, development, testing, deployment, and support.
Nice to Have Skills
- Experience with Hadoop Ecosystem components and Hadoop Administrative Fundamentals.
- Familiarity with NoSQL databases like HBase, Cassandra, or MongoDB.
- Knowledge of HDFS, Hive, Impala and scheduling tools such as Airflow or Nifi.
- Expertise in clustering, auto scaling in Hadoop environments on Azure cloud.
Qualifications
BE/BTech/MCA/MBA with a minimum of 10+ years of hands-on experience in relevant areas and overall 12+ years of industry experience. Experience in Banking and Capital Markets domains is a plus.
What We Look For
This role requires strong technical expertise, excellent communication skills, and the ability to work independently. Being adaptable, proactive, and a team player are essential attributes.
What Working at EY Offers
Working at EY provides inspiring projects, comprehensive coaching, feedback, and opportunities for career advancement in a globally integrated environment.
Key skills/competency
- Databricks
- Snowflake
- Hadoop
- PySpark
- Azure
- Neo4j
- Data Integration
- ETL
- Data Governance
- Financial Services
How to Get Hired at EY
🎯 Tips for Getting Hired
- Customize Resume: Tailor your resume with key technologies.
- Highlight Experience: Emphasize financial services and Big Data projects.
- Research EY's Culture: Study their mission, values, and recent news.
- Prepare for Interviews: Practice technical and behavioral questions.