Offer summary

Qualifications:

Bachelor’s degree in Programming/Systems or Computer Science preferred., Minimum of five years of experience working with data, especially large datasets., Hands-on experience with data tools and platforms such as Azure, Hadoop, and SQL., Strong interpersonal, communication, and team interaction skills..

Key responsibilities:

Design, develop, and automate scalable data engineering solutions using cloud infrastructure.

Craft data models and develop technical design documentation for solutions.

Partner with analytics team members to drive the development of business analytics data products.

Conduct unit testing to ensure solutions meet user specifications.

Job description

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details

Job Summary:

The Intermediate Analytics Data Engineer will be part of a team building the next generation Data Analytics platform. You will contribute to platform design, develop and maintain ETL/ELT data pipelines using large heterogeneous datasets developing data engineering products for complex data models that express business processes. Your expertise with leading data technologies results in a valuable modern data analytics platform that supports enabling our patients’ access to therapeutic care. Your collaboration and communication skills will establish stakeholder relationships to ensure your data products alignment with our Analytic product goals.

Leveraging your innate curiosity surrounding business processes, strategy and strategic initiatives to drive business value from Cencora data assets. Partner with Analytics team members and 3rd party Vendor partners to develop data products that drives our B2B/B2C Analytics capabilities and solution portfolio.

Analytics Data Engineers are innovative working with new cloud native and open source technologies such as the Azure and Google cloud data platforms. As a member of the team, you will be leading technical design as well as serving as an evangelist for promoting best practice to effectively manage Lash data assets. It will also be expected that this role guide and mentor less experienced members of the team to promote talent from within the team.

Primary Responsibilities:

Contributes to data related projects with nominal oversight
Design, develop, and automate scalable data engineering solutions by leveraging cloud infrastructure. Extend or migrate existing data pipelines to new cloud environment.
Craft data models of program processes and data entities.
Develops technical design & documentation of solutions
Participates in optimization of data asset performance
Transfers knowledge of data access/consumption mechanisms to business stakeholders, data visualization specialists and/or data scientists
Implementation of data cleansing procedures
Develop solutions and recommendations for improving data integrity issues
Partners with other Analytic team members and business stakeholders to drive development of business analytics data products
Identifies and validates opportunities to share/reuse existing data/information
Develop data transformation and aggregation logic, working under Senior Analytics Data Engineer
Conducts unit testing to ensure business analytics solutions meet user specifications
Create a framework for representing data elements including the entities, relationships and attributes
Verify data access mechanisms satisfy analytics consumption needs

Experience and Educational Requirements:

Bachelor’s degree, preferably with an emphasis in Programming/Systems or Computer Science
Involved with small to medium projects to implement data solutions
Minimum of five (5) or more years working with data, preferably with exposure to large data sets
Hands-on experience with data tools and platforms such as Azure, Hadoop, NoSQL, Spark, SQL Server etc.
Experience with Data bricks, Python, SQL - highly desired
Some industry experience in pharmaceutical, payer, or health services industry preferred
Experience working with ETL/ELT data sets
Experience using SQL/NoSQL based languages across structured/unstructured sources
Exposure to or understanding of cloud-based data technologies
Eager to learn from senior team members and curiosity to independently seek out sources of information for self-learning
Ability to learn new data technologies and quickly adapt them to real-world scenarios
Strong interpersonal and team interaction skills
Strong verbal and written communication skills

What Cencora offers

We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora

Full time

Salary Range*

$86,500 - 123,860

*This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington/New York/Hawaii/Vermont/Minnesota/Massachusetts/Illinois State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range.

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned