Job description

KPMG is currently seeking a Senior Associate, Data Engineer for our Consulting practice. Responsibilities: • Assist with technical design and development activities and lead a small workstream for implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, reporting and analytics, AI/ML) • Support design and development of technology and data architectures to support client solutions leveraging best practices for cloud data warehouse migrations • Capture and translate business and technical requirements, perform hypothesis-driven consulting and lead project management and client relationship development • Translate advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports and presentations • Exhibit strong knowledge of the Databricks ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders Qualifications: • Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified • Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university • Experience in leading projects relating to cloud modernization, data migration, data warehousing experience with cloud-based data platforms (Databricks) and experience with (preferably driving) technical workshops with technical and business clients to derive value added services and implementations • Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark • Strong verbal/written communication skills with ability to effectively interact with individuals at most levels of responsibility and authority; preferably will be able to prioritize, delegate and foster the development of high-performance teams to lead/support an environment driven by customer service and teamwork • Highly analytical and detail oriented; highly motivated with strong sense of urgency; quick learner and builds skills in technical areas which support the deployment and integration of Databricks-based solutions to drive customer projects • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed

Requirements

Must-haves

KPMG is currently seeking a Senior Associate, Data Engineer for our Consulting practice.
Support design and development of technology and data architectures to support client solutions leveraging best practices for cloud data warehouse migrations
Capture and translate business and technical requirements, perform hypothesis-driven consulting and lead project management and client relationship development
Exhibit strong knowledge of the Databricks ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders
Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified
Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future and travel as needed

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

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