Citi Group Data Engineering Tech Lead Analyst - VP 

United States, New Jersey 

661367270

Responsibilities:

• Develop enterprise data model and data strategy for enterprise applications.
• Interface with clients to understand business requirements and implement solutions
• Design and optimize systems that can process massive amounts of data while ensuring high performance and stability.
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals

Qualifications:

• 7 years+ of experience with designing data intensive applications.
• Strong background in designing enterprise data models and handling large scale enterprise databases .
• Proficient in database design, development, database architecture and data modeling
• Experience in the financial industry and with Risk Management is a plus.
• Experience with Data Modeling, Master Data Management, Data Governance, Data Cataloging, Data Replication.

• Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
• Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze and report.
• Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark etc.
• Proficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development and database tuning experience.
• Experience with Data Quality and data lineage.
• Experience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS) and Data Warehouse applications.
• Expert knowledge of logical and physical database design using Industry standard tools like Magicdraw, Erwin or IBM Infosphere.
• Experience with large scale databases, RAC, Oracle as a Service and performance tuning

Education:

• A Bachelor’s or Master's degree in computer science, computer engineering or related discipline.
• Master’s degree preferred

Anticipated Posting Close Date:

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