Lead Data Engineer

Key Skills

3D data processing, Azure, Data Analytics, Data Architecture, Data Engineering, Data Modeling, Data pipelines, Data science techniques, Databricks, PySpark, Snowflake

Job Description

As a Lead Data Engineer at McKesson, you will play a crucial role in designing, constructing, and maintaining data architectures, databases, and large-scale processing systems. You will collaborate closely with cross-functional teams to develop efficient data pipelines and contribute to our organization's data modernization efforts. This position requires a deep understanding of data engineering principles, cloud technologies, and a commitment to delivering high-quality solutions.

Key Accountabilities:

• Design and implement scalable and efficient data pipelines to support various data-driven initiatives.

• Collaborate with cross-functional teams to understand data requirements and contribute to the development of data architectures.

• Work on data integration projects, ensuring seamless and optimized data flow between systems.

• Implement best practices for data engineering, ensuring data quality, reliability, and performance.

• Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows.

• Demonstrate technical leadership by staying abreast of emerging data engineering technologies and implementing industry best practices.

• Effectively communicate technical concepts to both technical and non-technical stakeholders.

• Collaborate with the team to address unique challenges in talent attraction, development, and retention.

Minimum Requirements:

• 15+ years of experience of professional experience in related IT field

Critical Skills:

• Atleast 15+yrs of proven experience as a Data Engineer

• Deep technical expertise in building and optimizing data pipelines and large-scale processing systems.

• Deep technical expertise with Azure Cloud and Databricks.

• Experience working with cloud solutions and contributing to data modernization efforts.

• Strong programming skills (e.g., Python, Pyspark or Scala) for data manipulation and transformation.

• Excellent understanding of data engineering principles, data architecture, and database management.

• Strong problem-solving skills and attention to detail.

• Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

Additional Experience:

• Knowledge of the healthcare, distribution, or software industries is a plus.

• Strong technical aptitude and experience with a wide variety of technologies

• Ability to rapidly learn and if required evaluate a new tool or technology.

• Strong verbal & written communication skills

• Demonstrated technical experience.

• Be an innovative thinker.

• Must have a strong customer and quality focus.

Education:

• Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Data Science).

Physical Requirements: General Office Demands

Candidate must be authorized to work in the U.S, now or in the future, without support from McKesson.

Relocation is NOT budgeted for this position.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

$149,900 - $249,800