Position Description
The Senior Data Engineer is a senior technical role in supporting the information management architecture of the Enterprise Data Warehouse solution. The role will be actively responsible for designing the data acquisition data staging loading and transformation into the Enterprise Data Warehouse. This role will be a technical expert and resource collaborating with the Data Architect Software Engineers Product Owners and Project Team to develop and deliver data storage and movement solutions and to organize and oversee the loading of data into the related systems. Additionally the Senior Data Engineer will bridge gaps related to Business Intelligence functions supporting the analytics produced by the organization and providing expertise tying data movement together with data consumption.
Position Accountabilities:
· Design and develop complex ETL solutions using data warehouse design best practices
· Analyze data requirements data models and determine the best methods in extracting transforming and loading the data into the data staging warehouse and other system integration projects
· Create complex business intelligence reports and data visualizations using tools like Python Tableau and PowerBI
· Analyze business requirements and outline solutions
· Validate code against business and architectural requirements
· Create and test prototypes
· Troubleshoot applications and resolve defects
· Work within an agile framework
· Plan Prioritize and Deliver Resilient Scalable technical solutions
· Communicate ideas in both technical and user friendly language
· Update and maintain product documentation
· Escalate issues and impediments in a timely manner
· Work within established framework and processes Agile
· Collaboratively work with Agile teams as well as independently
· Perform and coordinate unit and system integration testing when required
· Participate in peer programming mobbing hackathons and code reviews as required
· Support and occasionally lead business intelligence efforts data analytics efforts and data governance/quality efforts
Position Qualifications
Education amp Experience
A Bachelor’s Degree or a combination of equivalent work experience
7 years of previous experience in information technology preferably within the financial services or other highly-regulated industry
5 years ETL development experience
3 years of Business Intelligence Data Analytics or Data Science experience
3 years of experience in an Agile environment
Knowledge of ETL and data warehouse design
Experience using Python for data movement/manipulation
Extensive experience with data dictionaries data analysis and relational databases
Experience with a business intelligence toolset
Preferred Qualifications
A Master’s Degree in a technology area of study preferably in Computer Science MIS or Analytics.
Knowledge amp Skills
· · Creative problem solver with excellent communication leadership and collaboration ...
Communication, Documentation, Planning, Analytics, Quality, Design, Leadership Skills, Troubleshoot, SQL, Data Analysis, Agile Scrum, Python, Methods, Collaboration, Best Practices, Agile, Programming, Storage, Financial Services, Framework, Collaborating, Tableau, Computer Sciences, R Code, Decision-Making
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