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
KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG LLP is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Depending on job classification , standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101ADV_4_26
