Page Mechanical Group, Inc.
Mid-Level Pega CDH Data Engineer II-Hybrid
Page Mechanical Group, Inc., Vienna, Virginia, United States, 22184
Are you looking for the next exciting project opportunity with a great company? Our professional recruiting staff at CC Pace is here to support you in every step of the process! We have been in business for nearly four decades and have deep roots in the Washington, DC, metro area. Our direct client relationships with companies in various industries and sizes help us find the right opportunity for our candidates. We offer competitive rates, healthcare & dental, 401k, FSA, LTD, lots of voluntary benefits, and tons of discount perks. Our team is standing by, ready to help you get started today!
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 and development of corporate Data, with a specific focus on Pega DataFlow and ETL pipelines to support Pega Marketing systems capabilities. Solve highly complex problems; take a broad perspective to identify solutions. Interact with other functional teams or projects. Work 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, and query performance and enforce them 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, 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 drive 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.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. EEO IS THE LAW CC Pace invites any applicant and/or employee to review the Company’s written Affirmative Action Plan. This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.
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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 and development of corporate Data, with a specific focus on Pega DataFlow and ETL pipelines to support Pega Marketing systems capabilities. Solve highly complex problems; take a broad perspective to identify solutions. Interact with other functional teams or projects. Work 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, and query performance and enforce them 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, 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 drive 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.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. EEO IS THE LAW CC Pace invites any applicant and/or employee to review the Company’s written Affirmative Action Plan. This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.
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