Description

Primary Responsibilities

  • Participate in agile team working with product/tech owner, and team members to understand and code data requirements.
  • Design ETL Flow based on the requirements of the specific use case.
  • Use the appropriate tools and frameworks available to develop the data acquisition and ingestion process in accordance with the approved design.
  • Experience with Cloud technologies preferably AWS RDS. 
  • Design and Build Data Access Layer using Rest APIs.
  • Assist to build out data model with other team members.
  • Ensure the necessary data validation steps are included to ensure completeness and accuracy of data.
  • Perform initial validation of the process and inspection of the data.
  • Proper Entitlement is established on data objects.
  • Provide Support for data jobs once deployed in production to ensure SLAs are met for data consumers.
  • Partner with application teams to assess 3rd party data models and/or support the creation of proprietary logical and physical data models that are fit for purpose and in line with the projects business goals 
  • Leverage workflow tools to maintain accurate status of assigned tasks (JIRA, etc.).
  • Help to test and fix performance issues.
  • Follow SDLC adoption of strategic, enterprise information architecture data standards, including naming and modelling standards 

Qualifications

  • A strong understanding of Master Data Management Platform.
  • Experience in MDM party, Security Master and other financial refence data domains
  • Hands on experience doing MDM implementations using TIBCO EBX or other related MDM tools.
  • Experience implementing data work flow and data validations within MDM platform
  • Hands on experience in writing complex SQL (may include queries, stored procedures, triggers, etc.) in the course of development and debugging issues.
  • Hands-on experience with Oracle, Sybase and SQL Server is a must – from initial logical design to   physical deployment, for both new build and change management 
  • Proficient in  Python.
  • Experience debugging potential issues within the implementation of the MDM tools and methods to bringing them to resolution.
  • Experience setting up and executing Best practices as it pertains to Support and Operations.
  • Experience with designing/building Data API and its interaction with data consumers.
  • Experience with test-driven development.
  • Working experience with Data Management and Governance solutions (i.e. Data Warehousing, Data Lakes and Reservoirs) in both relational technologies (e.g. Oracle) and no-SQL solutions (Hadoop) for both on-prem and cloud (AWS) deployments required 
  • Background in Financial Services industry

Education

Bachelor’s Degree