Sr. SQL + ETL Developer

Insight Global
Jersey City, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jersey City, United States of America

Tech stack

Java
.NET
Data analysis
Big Data
Cloud Computing
Computer Programming
Databases
ETL
Oracle Exadata
Hadoop
Python
Machine Learning
Software Engineering
SQL Databases
Data Ingestion
Information Technology

Job description

One of our top financial services clients is looking for a Sr. SQL + ETL Developer to join their dynamic team. This role will be responsible for hands-on application development to support the current and target process, as well as partnering with the multiple Technology teams to implement the target architecture and migration to strategic platform. Enterprise Capital Management Technology (ECMT) supports the Capital Management function within Corporate Treasury. The team will be subject to multiple critical regulations and also going through a Technology Transformation Journey to build and adopt General capabilities for Data Ingestion, Rules Authoring Execution, and Analytics capabilities. This is a greenfield project that requires meticulous design to replace multiple legacy applications within Treasury Technology. These applications will also house some critical regulatory programs such as Basel IV, FRTB.

Requirements

  • BS/MS in Computer Science, Engineering, or any quantitative discipline
  • 10+ years' experience with at least 3+ years' experience as a data analyst
  • Delivery focused techno-functional role
  • Good knowledge of SQL programming preferably with databases such as Oracle Exadata
  • Programming experience with Python or Java/.Net
  • Programming experience with Hadoop will be an advantage
  • Excellent analytical and problem-solving skills
  • Deep understanding of Capital Markets with focus on Credit Risk, Market Risk or Capital calculations
  • Understanding of regulations within the Capital Markets space (Basel, CRR, CRD IV etc)
  • Attention to detail and self-starter, with an ability to identify risks and issues and suggest improvements.

Preferred Skillset

  • Knowledge of Big Data Architectures and Cloud computing
  • Knowledge of machine-learning techniques, classifiers and statistical methods
  • Exceptional intelligence and problem-solving skills
  • Excellent communication skills - MBA is an advantage

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