Senior/Lead Data EngineerThe Senior / Lead Data Engineer will be part of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well as maintaining data definitions, business rules, and lineage. Additional duties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conducting different types of testing (functional, regression, exploratory), and preparing and executing test cases and plans.Key Responsibilities:Support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analyticsWork closely with the other Data Engineers and Scientists to deliver resultsCitizen of PSAS BU data engineering team and enable the BU Driven Data InsightsCoordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteriaLeverage tools and resources to plan, evaluate and execute strategic initiativesStrong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners and multi-shore teams/resourcesContinuously improve and optimize business processes and operationsIdentifying, publicizing the tech debt across data landscape and championing addressal pursuitsData Engineering and Analytics supportThinks in automation first, enterprise first and reusability mindsetDevelops solution architectures and designs and helps build consensus among teams to champion the data solutionsCollaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies, tools and processesImplements data governance practices in partnership with business stakeholders and peers, data governance office teams and solution teams to advocate for data literacy and data democratization across enterpriseBuilds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time modeAnalyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniquesMust be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS)Experience with automation to Infrastructure (IaC- Infrastructure as Code) Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc...Understanding of large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use casesSpecific experience with Snowflake, Databricks, Azure data factory, PySpark, Analytical SQL, Splunk, Alation, R, PythonExperience with SAP and IBM DataStage is also extremely beneficialCommunicate results and educate others through reports and presentationsMinimum Job Qualifications (Knowledge, Skills, & Abilities): Education/Training – Bachelor’s or master’s degree in data science, Statistics, Computer Science, Economics, or a related field. 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role. Proficiency in SQL, Python, R, or similar analytical tools.
Experience with data visualization platforms such as Power BI, Tableau, or Looker. Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
Experience with analytical tools such as Databricks & Snowflake Excellent communication and stakeholder management skills. Ability to manage multiple projects and priorities in a fast-paced environment. Specialized Knowledge/Skills – Leadership Skills: Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This position operates under consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes. Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives. Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.