Mid-Level PEGA CDH Data Engineer II
Location : Vienna, VA / Pensacola, FL / San Diego, CA
06+ Months Contract
Description :
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
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 s 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 , 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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