Senior Data Engineer

McKesson•Irving, TX

8d•$156,998 - $184,400•Remote

About The Position

McKesson 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. What 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 tomorrow’s health today, we want to hear from you.

Requirements

Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering or a related field and eight (8) years of experience in the job offered or a related field. Alternatively, employer will accept a Master’s degree, or foreign equivalent, in Computer Science, Computer Engineering or a related field and five (5) years of experience in the job offered or a related field.
Four (4) years demonstrated experience in SQL: Writing complex queries to debug and fix application related issues.
Four (4) years demonstrated experience in Java: Using programming language for building pipelines and data transformation for the existing application.
Four (4) years demonstrated experience in Python, Scala: Building new and enhancing existing application.
Four (4) years demonstrated experience in MySQL: Writing queries, investigating, and fixing data issues associated with application.
Four (4) years demonstrated experience in ETL/ELT Development: Designing, building, and orchestrating pipelines.
Four (4) years demonstrated experience in Data Modeling: Working with snowflake schema, normalization/denormalization, dimensional modeling.
Four (4) years demonstrated experience in CI/CD: Continuous integration and deployment for automating build, testing and releases using GitHub Actions.
Four (4) years demonstrated experience in Talend: Comprehensive ETL platform for building, transforming, and integrating data pipelines from various sources.
Two (2) years demonstrated experience in Databricks: Unified analytics platform for large scale data processing, analytics, and machine learning.
Two (2) years demonstrated experience in Azure Data Factory: Orchestration and ETL tool for automating data workflows and integrations across systems.
Two (2) years demonstrated experience in PySpark: Distributed Data Processing framework for transforming and analyzing large datasets in parallel.
Two (2) years demonstrated experience in AWS: Object Storage Service for scalable, cost-effective data storage and retrieval.
Two (2) years demonstrated experience in Azure: Blob Storage for storing data, Logic Apps for sending notifications, Key Vaults for storing secrets, resource groups, IAM and user management.

Responsibilities

Design and implement scalable and efficient data pipelines to support various data-driven initiatives using Databricks and Azure Data Factory.
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 like Snowflake, Salesforce, and SAP BW.
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.
Promotions to different environments using GitHub CICD with GitHub Actions.
Participate in the evaluation and identification of new strategies for steady and streamlined portal.
Working on Azure Blob Storage for storing data, Logic apps for sending job runs email and Azure Key Vault for storing secrets.