Title: ETL Developer
Location: Charlotte NC
Onsite: 3x onsite each week
Duration: 12 Months Contract
Interview Process: Virtual + 1 Onsite interview
Roles and responsibilities
Hands-on design and ETL development in Data Warehouse environment.
Work on multiple projects concurrently, take ownership & pride in the work done by them, attend
project meetings, understanding requirements, designing solutions, developing code.
Partnering with near shore and offshore teammates in a matrix environment, coordinating with other support teams like L2, development, testing, up/down stream partners, etc.,
Work with the Business Analysts to understand the requirements, work on high level & detailed design to address the real-time issues in production.
Work with Information Architecture team to propose technical solutions to requirements, lems.
Identify gaps in technology and propose viable solutions.
Take accountability of the technical deliveries from offshore
Solid Understand of Data Warehousing and Dimensional Data Modeling concepts.
Work with the development teams and QA during the post code development phase.
Identify improvement areas within the application and work with the respective teams to implement the same.
Ensuring adherence to defined process & quality standards, best practices, high quality levels in all deliverables.
Adhere to team’s governing principles and policies.
Primary Skill: Hadoop
Secondary Skill: Informatica
Nice to Skill: Teradata
Required Qualifications
Strong leadership, communication, writing, and relationship skills across varied levels of influence
Ability to design the system with little direction or guidance.
Excellent analytical and logical skills
Self-starter with thought leadership
Ability to partner with both technology and business associates to implement solutions.
Strong knowledge of project life cycle, Data Warehousing, Dimensional Data Modeling
Ability to multitask and work independently.
Expert Knowledge in Oracle/Exadata
Expert Knowledge Oracle SQL/PLSQL
ETL Processing concepts Experience in handing large data volume and Performance Tuning
Desired Qualifications
Large Financial Organization experience / exposure