Job description

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: • Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics • Assist in technical processes from ideation to delivery: Research, experiment, and utilizing data methodologies to build pipelines / scalable analytic tools using leading technologies • Regularly conduct peer code reviews to ensure code quality and provide expert documentation / operating guidance for users • Execute data operations essential for analysis, including tasks such as data cleansing, data integration, and data transformation • Develop data engineering designs and translate efforts between business / technical stakeholders • Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, resource allocation 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 programming languages (Python, PySpark, SQL) • Experience with data quality management: Ability to ensure data integrity, accuracy, consistency through data validation, cleansing, and error handling techniques • Experience with data processing / ETL knowledge: Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, transformation • Expertise with development tools / methodologies (Agile, git, test driven development, CI/CD release management) • Proven ability to rapidly ingest, transform, engineer, and visualize data • 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.
Utilize data wrangling tools and coding languages such as Python, PySpark, and SQL to extract valuable insights from data through analytics
Assist in technical processes from ideation to delivery: Research, experiment, and utilizing data methodologies to build pipelines / scalable analytic tools using leading technologies
Regularly conduct peer code reviews to ensure code quality and provide expert documentation / operating guidance for users
Execute data operations essential for analysis, including tasks such as data cleansing, data integration, and data transformation
Develop data engineering designs and translate efforts between business / technical stakeholders
Monitor performance and reliability of data systems, identifying / resolving issues while proactively optimizing logic and model performance by code tuning, streamlining, resource allocation
Bachelor's degree from an accredited college/university
Experience with programming languages (Python, PySpark, SQL)
Experience with data quality management: Ability to ensure data integrity, accuracy, consistency through data validation, cleansing, and error handling techniques
Experience with data processing / ETL knowledge: Extract, Transform, Load (ETL) processes and tools for data ingestion, integration, transformation
Expertise with development tools / methodologies (Agile, git, test driven development, CI/CD release management)
Proven ability to rapidly ingest, transform, engineer, and visualize data
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

Application prep

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

Keywords to mirror

pythonsqlagileci/cd

Platform: avature
Effort: medium