Programmer/Analyst: III (Senior)
Judge Group, Inc. Columbus
Location: Columbus, OH
Salary: $55.00 USD Hourly - $60.00 USD Hourly
Description:
Job Title: IT Finance Data Ops
Location: Columbus, OH (4 days onsite, 1 day remote)
Salary: $55.00 USD Hourly - $60.00 USD Hourly
Description:
Job Title: IT Finance Data Ops
Location: Columbus, OH (4 days onsite, 1 day remote)
Type: 3 Months Contract Only
Contract only W2
Our IT Finance Data Ops team is growing, and we're looking for an outstanding Programmer/Analyst to join our team. The Programmer/Analyst will play a pivotal role in building and operationalizing data quality rules necessary for regulatory reporting teams.
The Programmer/Analyst plays a pivotal role in building and operationalizing data quality rules necessary for regulatory reporting teams. Programmer/Analyst will also test data quality to ensure client data conforms to business rules and is accurate, complete, consistent, and uniform.This role's primarily focuses on building, managing and optimizing data quality checks throughout the data pipelines for key regulatory reporting data.
Duties and Responsibilities:
- Architecting, creating, and maintaining data pipelines.
- Work in partnership with data ops team in refining the data quality requirements.
- Develop AWS Glue and Airflow process.
- Demonstrated ability to communicate complex results to technical and non-technical audiences.
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
- Strategic, intellectually curious thinker with focus on outcomes.
- Professional image with the ability to form relationships across functions.
- Mentor junior program/analyst
- Performs other duties as assigned.
Basic Qualifications:
- Bachelor's degree in computer science, statistics or related field, or equivalent related work experience.
- 5+ years of related experience in data management disciplines including data integration, data modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
- 5+ years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative, experience with data preparation tools and database programming languages.
Preferred Qualifications:
- Experience building modular, reusable ETL frameworks, focusing on scalability and maintenance.
- Strong experience with data engineering tooling (e.g., Glue, Lambda, Athena, AWS)
- Strong knowledge of BI software tools (e.g., QuickSight, Tableau, etc)
- Experience with workflow orchestration tools - like Apache Airflow - to schedule, monitor and manage data pipelines.
- Hands on data testing experience
- Familiarity with Agile methodology practices.
- Strong ability to design, build and manage data pipelines for data
- Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Willingness and ability to learn new technologies on the job
- Financial Services background is preferred, or interest in learning.
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Contact:
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