Senior / Lead Data Engineer

McKesson

United States

United States

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divh2Senior/Lead Data Engineer/h2pMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve we care./ppWhat you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrows health today, we want to hear from you./ppThe 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./ppKey responsibilities include:/pulliSupport a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics/liliWork closely with the other Data Engineers and Scientists to deliver results/liliCitizen of PSAS BU data engineering team and enable the BU Driven Data Insights/liliCoordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria/liliLeverage tools and resources to plan, evaluate, and execute strategic initiatives/liliStrong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners and multi-shore teams/resources./liliContinuously improve and optimize business processes and operations. Identifying, publicizing the tech debt across data landscape and championing addressal pursuits./liliData Engineering and Analytics support/liliThinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions./liliCollaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies, tools and processes./liliImplements 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 enterprise./liliBuilds 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 mode/liliAnalyzes, 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 techniques./liliMust 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)/liliTroubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc.../liliUnderstanding large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use cases. Specific experience with Snowflake, Databricks, Azure data factory, PySpark, Analytical SQL, Splunk, Alation, R, Python. Experience with SAP and IBM DataStage is also extremely beneficial./liliCommunicate results and educate others through reports and presentations./li/ulpMinimum job qualifications (knowledge, skills, and abilities):/pulliEducation/Training Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field./lili7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role./liliProficiency in SQL, Python, R, or similar analytical tools./liliExperience with data visualization platforms such as Power BI, Tableau, or Looker./liliStrong understanding of statistical analysis, predictive modeling, and data mining techniques./liliExperience with analytical tools such as Databricks Snowflake./liliExcellent communication and stakeholder management skills./liliAbility to manage multiple projects and priorities in a fast-paced environment./li/ulpSpecialized knowledge/skills:/pulliLeadership 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./liliStrategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives./liliProblem Solving: Innovative and creative problem-solving skills capable of handling complex challenges./li/ulpWorking conditions: Traditional office environment./ppWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered./ppMcKesson is an Equal Opportunity Employer. McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information./p/div

United States

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English

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