Note: The job is a remote job and is open to candidates in USA. KPMG US is seeking highly skilled Data Engineer Contractors for upcoming assignments. The role involves building scalable data pipelines and enterprise architectures, working with data engineering, data science, and advanced analytics to drive business intelligence initiatives.
Responsibilities
- Design, build, and maintain scalable, robust data pipelines and enterprise data architectures utilizing Databricks, Snowflake, and dbt
- Transform and model complex, large-scale datasets within Snowflake and Databricks using dbt to support advanced analytics and business intelligence initiatives
- Leverage Databricks for large-scale, distributed data processing while ensuring data quality, reliability, and continuous performance optimization across cloud data platforms
- Partner with data scientists, analysts, and software engineers to translate business requirements into efficient, end-to-end data engineering solutions
- Act as the primary technical point of contact for client engagements, driving technical strategy and leading offshore engineering resources to deliver high-quality solutions
- Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment
Skills
- 3 to 7 years of experience for hands-on engineering roles, OR 8+ years of experience for candidates stepping into technical leadership and client-facing capacities
- Advanced proficiency in Python and PySpark
- Extensive hands-on experience with Databricks, Snowflake, and dbt (data build tool)
- Experience orchestrating data workflows using Azure Data Factory (ADF)
- Familiarity with Generative AI concepts and Data Science workflows to effectively partner with cross-functional analytics teams
- Strong foundational knowledge of general Data Engineering & Architecture best practices, data modeling, and distributed processing
Company Overview