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Sr. Data Operations Engineer

Bangalore, Inde Numéro du poste JR0144437 Catégorie Data Management, Information Technology Date de publication Mar. 17, 2026
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About McKesson Compile

Established in 1833, McKesson is a US Fortune 10 global leader in healthcare supply chain management solutions, retail pharmacy, healthcare technology, community oncology, and specialty care. We partner with life sciences companies, manufacturers, providers, pharmacies, governments, and other healthcare organizations to help provide the right medicines, medical products, and healthcare services to the right patients at the right time, safely and cost effectively.

Based in Bangalore India, McKesson Compile’s data is a comprehensive, full linked system of record for the US Healthcare market, with intelligence on 2M+ healthcare professionals (HCPs) and over 800K facilities. Compile’s data includes high capture medical and pharmacy claims, closed capture Medicare claims (100%), along with best-in-class provider affiliations and customer master.

At McKesson we deliver careers with purpose and potential. Our focus on better health starts with creating an inclusive environment with strong values where you can build a fulfilling career. You can count on us to provide you with resources and opportunities to grow and be your best, while contributing to our pursuit of improving lives.

Senior Data Operations Engineer

 Responsibilities and Duties

● Managing data Operations - from data ingestion to the final delivery of the Product to our

clients/internal stakeholders. The process includes handling RWD, unstructured

healthcare data, and other associated datasets.

● Needs to coordinate with the vendors and work with the Data Engineering team to load

the data into the warehouse.

● Work with stakeholders including the Product, Data, and Design teams to assist with data[1]related technical issues and support their needs.

● Meet the delivery SLAs to load/deliver the data and make it available for internal and

external stakeholders

● Should assess structural modifications, volume consistency, fill rate consistency, and

comprehensive data

● Investigate production problems to identify the underlying causes and suggest fixes

● Collaborate with cross-functional teams to troubleshoot data problems and provide

solutions.

● Assess the integrity of internal data sources and processes, work with project managers,

client service managers, and other internal teams to address problems, implement

preventative measures, and enhance procedures.

● Identify, design, and implement internal process improvements: automating manual

processes, optimizing data delivery, etc.

● Shall keep themselves and the team updated about market events that will affect the data

quality in the next few refreshes.

 What makes you a great fit:

● 3-5 years of Hands-on experience working with healthcare data types, including RWD

(real-world data), claims, EHR, unstructured patient data, etc

● Hands-on experience in critical problem-solving, writing advanced database queries, and

SQL utilities to perform data extraction, data analysis, and working with the data

engineering team.

● Proficiency in Data modeling, validation, quality check, and data engineering concepts.

● Experience working with big-data processing technologies using - databricks, dbt, S3,

Delta lake, Deequ, Griffin, Snowflake, BigQuery.

● Familiarity with version control technologies, and CI/CD systems.

Data Quality Assurance

 Responsibilities and Duties

● Write and review QA plans.

● Validate all incoming and outgoing data

● Meet the quality SLAs

● Run test cases, identify issues, and work with the team to resolve them

● Identify any customer-impacting issues and communicate them beforehand

 What makes you a great fit:

● 2-3 years of Hands-on experience working with analytical data

● Should be able to run the automated, semi-automated, manual tests

● Experience working with healthcare data types, including RWD (real-world data), claims,

EHR, unstructured patient data, etc is a plus.

● Hands-on experience in critical problem-solving, writing advanced database queries, and

SQL utilities to perform data extraction, data analysis, and working with the data

engineering team.

● Experience working with QA frameworks like Great Expectations

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

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McKesson a pris connaissance d'arnaques en ligne liées au recrutement dans lesquelles des individus non affiliés à McKesson ou autorisés par celle-ci utilisent le nom de McKesson (ou d'entités affiliées, telles que CoverMyMeds ou RxCrossroads) dans des courriels frauduleux, des offres d'emploi ou des messages sur les réseaux sociaux. Compte tenu de ces arnaques, veuillez garder à l'esprit ce qui suit :

 

  • Les conseillers en talent de McKesson ne demanderont jamais d'argent ni d'informations de carte de crédit dans le cadre d'une candidature à un emploi chez McKesson.
  • Les conseillers en talent de McKesson ne communiquent pas avec les candidats via des salles de discussion en ligne ou en utilisant des comptes courriels tels que Gmail ou Hotmail. Notez que McKesson s'appuie sur un assistant virtuel (Gia) pour certaines communications liées au recrutement avec les candidats.
  • Les offres d'emploi de McKesson sont publiées sur le site de carrières de McKesson: careers.mckesson.com.

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