Informatica / ETL / Python Developer (Closed)

SkillStorm is seeking an Informatica / ETL / Python Developer for our client in Charlotte, NC. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.

Job Description:

• This position will sit within the Treasury Data Technology Group within our Client. This position seeks to fill the need for an Informatica /ETL/Python developer. The individual selected for this role will be experienced in Informatica (10x) and possess strong SQL and data warehousing skills as well as be well versed in the Agile SDLC lifecycle processes. The scope of ETL design and development includes but is not limited to data extraction from heterogeneous data sources, data transformation (e.g., data cleansing), database loading, and support to meet the needs of the business. Individual should have experience with various databases platforms including Oracle Exadata (primary), Teradata and SQL Server. The individual will sit within a scrum team and will work closely with an on-shore product lead and developers as well as off-shore developers and testers. The individual would also be expected to work on potential new technology stacks for the application.

Primary Skill:

• Informatica ETL

Required Skills:

• design and development.
• Implementing solutions using Informatica PowerCenter 10x (Designer/Monitor).
• Develop and recommend strategies and specifications for (technical) data solutions based on the analysis of the business goals, objectives, needs, and existing data systems infrastructure.
• Data Modeling and experience in developing new logical, conceptual, and physical models for data and system flows
• Develop technical strategies and architectures for high-performance, scalable and complex enterprise-grade system
• Work with ETL developers, business analyst, DBAs, system administrators, to architect data model, design and implement database as well as write ETL related programs.
• Work closely with the team responsible for the maintaining the data model, including data dictionary/metadata registry.
• Document programming problems and resolutions for future reference.

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