Job Description
Role: Pega CDH Developer with Strong ETL
Location:& & Vienna or Winchester, VA; San Diego, CA; or Pensacola, FL (Hybrid)
Duration: Long term contract
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Responsibilities:
1.& & & & & & & & Load Customer Data into Pega CDH on Pega Cloud, monitor data quality and implement related controls.
2.& & & & & & & & Migrate existing ETL for the Pega marketing PaaS solution to a Pega managed service in the cloud, SaaS solution.
3.& & & & & & & & Design and implement data frameworks and pipelines to process data from on-premises and cloud data sources to feed into the Pega AWS (PostgreSQL), Azure Data storages, monitor data quality and implement related controls.
4.& & & & & & & & Technical leadership and knowledge to provide technical guidance and educate team members and coworkers on development and operations.
5.& & & & & & & & Evaluate existing designs, improve methods, and implement optimizations.
6.& & & & & & & & Document best practices for data models, data loads, query performance and enforce with team members.
7.& & & & & & & & Implement integration plans and interface with testing teams to incorporate plans into the integration testing process.
8.& & & & & & & & Perform data archival.
9.& & & & & & & & Ensure the security and integrity of solutions including compliance with Navy Federal, industry engineering and Information Security principles and practices.
10.& & & Analyze and validate data sharing requirements within and outside data partners.
11.& & & Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives.
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Qualifications (required):
Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training, and experience
All Advanced level:
1.& & & & & & & & Very good understanding of& SQL , Procedures and Packages
2.& & & & & & & & Hands-on experience creating automated data pipelines using modern technology stacks for batch& ETL , and for data processing to load advanced analytics data repositories.
3.& & & & & & & & Hands-on experience with data warehousing,& PostgreSQL, Cassandra, Cloud technologies (AWS, ADLS) .
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