Job description

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: • Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data • Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale • Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy) • Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL • Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS) • Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation) • Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions • Develop documentation / guides for analytics usage and maintenance Qualifications: • A minimum of three years of data engineering / analytics experience • Bachelor's degree from an accredited college / university • Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda • Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks • Proficiency in programming languages such as Python, Scala, SQL • Ability to travel as required to support firm engagements • Initial project will be located in the St. Louis, MO region, requires daily on-site presence • 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.
Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources / constraints around data
Create production quality data pipelines and Machine Learning pipelines that can be deployed at scale
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, public policy)
Support leading teams in the development of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL
Provide oversight, scoping, technical assistance, and quality control over the development of analytics solutions using analytics / data wrangling tools (e.g. Python, R, SQL, SAS)
Perform operations to prepare data for analysis (e.g. data cleansing, data integration, data transformation)
Lead discussions with clients on the value proposition of analytics, analytic methodologies, and outputs of analytic solutions
Develop documentation / guides for analytics usage and maintenance
A minimum of three years of data engineering / analytics experience
Bachelor's degree from an accredited college / university
Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda
Hands-on experience data engineering, cloud architecture, or related fields with a focus on AWS and Databricks
Proficiency in programming languages such as Python, Scala, SQL
Ability to travel as required to support firm engagements
Initial project will be located in the St. Louis, MO region, requires daily on-site presence
Applicant must possess a U.S. Government Secret clearance

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

machine learningpythonsqlaws

Platform: avature
Effort: medium