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About
Current Need:
The Senior / Lead Data Engineer will bepart 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 andprovidein-depth data insights for complex
business problems that can be approached with advanced analytics
Work closely with the other Data Engineers and Scientists to deliver results
Citizen of PSAS BU data engineering team and enable the BU Driven Data
Insights
Coordinate and collaborate with program managers and other internal
stakeholders including gathering requirements and modeling criteria
Leverage tools and resources to plan,evaluateand execute strategic initiatives
Strong delegation and management skills to ensure work is conducted ina timely,
quality fashion by internal and external partners and multi-shore
teams/resources.
Continuously improve andoptimizebusiness processes and
operations.Identifying, publicizing the tech debt across data landscape and
championing addressal pursuits.
Data Engineering and Analytics support
Thinks in automation first, enterprise first and reusability mindset. Develops
solution architectures and designs and helps build consensus among teams to
champion the data solutions.
Collaborates with and across Agile teams to design, develop, test, implement,
and support technical solutions with full stack of Data technologies,toolsand
processes.
Implements data governance practices in partnership with business stakeholders
and peers, data governance officeteamsand solution teams to advocate for data
literacy and data democratization across enterprise.
Builds 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
Analyzes, 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.
Must 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 oflarge database mining tools and statistical languagesutilizedto
efficiently build approaches andexecute onanalytical use cases. Specific
experience withSnowflake, Databricks, Azure data factory,PySpark,Analytical
SQL,Splunk,Alation,R, Python.Experience with SAP and IBM DataStage is also
extremely beneficial.
Communicateresults and educate others through reports and presentations.
Minimum Job Qualifications(Knowledge, Skills, & Abilities):
Education/Training –
Bachelor's or master's degree in data science, Statistics, Computer Science,
Economics, ora relatedfield.
7+ years of experience in data analytics, with at least 2 years in a leadership or
mentorship role.
Proficiencyin 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 positionoperatesunder
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-termobjectives.
Problem Solving: Innovative and creative problem-solving skills capable of
handling complex challenges.
Languages
- English
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