Job description

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: • Leverage a variety of modern big data tools / approaches to solve complex business objectives • Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs • Build pipelines / scalable analytics tools using leading technologies (e.g. - Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP, etc.) • Conduct peer code reviews to ensure code quality, provide documentation / operating guidance for users of all levels (translate between business & technical stakeholders) • Develop data engineering designs that positively impacts business performance Qualifications: • A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred • Bachelor's degree from an accredited college/university • Experience with Python and SQL required (experience with Advana, Databricks, Spark preferred) • Experience with development tools and methodologies (Agile, GIT, test driven development, CI/CD release management) • Experience with data architecture / integration and coding / testing patterns working with existing open-source software platforms • Experience in designing, building, and optimizing scalable data pipelines and ETL/ELT processes within the Databricks ecosystem • Ability to travel as required to support firm engagements • Applicant must possess a U.S. Government Secret clearance

Requirements

Must-haves

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.
Leverage a variety of modern big data tools / approaches to solve complex business objectives
Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs
Build pipelines / scalable analytics tools using leading technologies (e.g. - Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP, etc.)
Conduct peer code reviews to ensure code quality, provide documentation / operating guidance for users of all levels (translate between business & technical stakeholders)
Develop data engineering designs that positively impacts business performance
Bachelor's degree from an accredited college/university
Experience with development tools and methodologies (Agile, GIT, test driven development, CI/CD release management)
Experience with data architecture / integration and coding / testing patterns working with existing open-source software platforms
Experience in designing, building, and optimizing scalable data pipelines and ETL/ELT processes within the Databricks ecosystem
Ability to travel as required to support firm engagements
Applicant must possess a U.S. Government Secret clearance

Nice-to-haves

A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred
Experience with Python and SQL required (experience with Advana, Databricks, Spark preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesawsazuregcppythonsqlagileci/cd

Platform: avature
Effort: medium