Senior Lead Data Engineer - Workforce Analytics

October 3

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Kyndryl

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Cloud Services for public cloud and private cloud • Enterprise Data Services • Security & Resiliency Services • Enterprise Infrastructure Services • Digital Workplace Services

10,000+

Description

• Lead the integration of multiple strategic platforms to support workforce optimization models. • Design, build, and maintain robust data pipelines and ETL processes. • Collaborate with data scientists and analysts to refine optimization models. • Develop scalable data architecture solutions for workforce data accessibility. • Work closely with cross-functional teams to align data engineering efforts. • Implement automation in data processes to enhance efficiency and accuracy. • Establish data governance practices for data quality and security.

Requirements

• 4-7 years of proven experience as a Data Engineer, preferably in workforce management. • Strong experience with ETL processes and data pipeline design using SQL, Python, or similar. • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). • Experience with graph databases and query languages (e.g., Neo4j, GraphQL) is a plus. • Understanding of data modeling, data warehousing, and relational database concepts.

Benefits

• Employee learning programs for certifications including Microsoft, Google, and Amazon. • Opportunities for hands-on experience and personal development. • Access to state-of-the-art resources with Fortune 100 clients. • Company-wide volunteering and giving platform to support non-profits.