Mid-Level Pega CDH Data Engineer II

3 weeks ago

Vienna, United States Idexcel Full time

Job Title: Mid-Level Pega CDH Data Engineer II

Location: Vienna, VA/Pensacola, FL/San Diego, CA

Duration: Long Term


Hybrid Days in-office requirement: 2x a week or 8x a month

Top 3 Required Skills:

  • Hands-on experience creating automated data pipelines using Pega DataFlow and other modern technology stacks for batch ETL or API
  • Hands-on experience with Pega 8.X, Postgres and Cassandra
  • Knowledge and experience with configuration, load-balancing, auto-scaling, monitoring, networking, and problem-solving in a cloud environment



  • Top 3 Desired Skills:Load Customer Data into Pega CDH on Pega Cloud, monitor data quality and implement related controls
  • Migrate existing ETL for the Pega marketing PaaS solution to a Pega managed service in the cloud, SaaS solution
  • Implement integration plans and interface with testing teams to incorporate plans into the integration testing process


JOB DESCRIPTION:


Basic Purpose: Develop technical solutions for importing and ingesting Customer Data into Pega CDH on Pega Cloud. The Data Engineer will be responsible for guiding the design, development, of Client' Data with a specific focus on Pega DataFlow, and ETL pipelines to support Pega Marketing systems capabilities. Solves highly complex problems takes a broad perspective to identify solutions. Interacts with other functional teams or projects. Works independently.


  • Responsibilities:Load Customer Data into Pega CDH on Pega Cloud, monitor data quality and implement related controls
  • Migrate existing ETL for the Pega marketing PaaS solution to a Pega managed service in the cloud, SaaS solution
  • Evaluate possible designs, improve methods, and implement optimizations
  • Document best practices for data models, data loads, query performance and enforce with other team members
  • Implement integration plans and interface with testing teams to incorporate plans into the integration testing process
  • Perform data archival
  • Create reports to provide insight into ETL execution statistics and status
  • Ensure the security and integrity of solutions including compliance with Client's , industry engineering and Information Security principles and practices
  • Analyze and validate data sharing requirements within and outside data partners
  • Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives



  • Qualifications and Education Requirements:Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training, and experience
  • Hands-on experience creating automated data pipelines using Pega DataFlow and other modern technology stacks for batch ETL or API
  • Hands-on experience with Pega 8.x, Postgres and Cassandra
  • Knowledge and experience with configuration, load-balancing, auto-scaling, monitoring, networking, and problem-solving in a cloud environment
  • Experience with processing various file types
  • Experienced in the use of ETL tools and techniques and have knowledge of CI/CD
  • Very good understanding of SQL (Advanced level)
  • Demonstrates change management and/or excellent communication skills
  • Pega Cloud experience is desired, but not required

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