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44 GlaxoSmithKline Pharmaceuticals Jobs

Full Stack Data Engineer

5-7 years

₹ 23 - 26L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Full Stack Data Engineer

GlaxoSmithKline Pharmaceuticals

posted 5d ago

Job Role Insights

Flexible timing

Job Description

We are seeking a highly skilled and experienced full stack data engineer to join our team to help support the US Specialty Business Unit. If you are passionate about leveraging cutting-edge cloud technologies and data engineering best practices to drive insights in the healthcare sector, we encourage you to apply.
Responsibilities
  • Design & Build Robust Data Pipelines: Develop, implement, and maintain end-to-end data pipelines that efficiently ingest, process, and transform large-scale pharmaceutical datasets, with a focus on anonymized patient-level datasets (APLD) and prescriber/account level datasets (e.g. Xponent, Drug Distribution Data).
  • Data Integration & ETL Processes: Collaborate with cross-functional teams to architect and optimize ETL processes, ensuring seamless integration of various data sources into centralized Azure environments (e.g., Azure Data Lake Gen2, Azure Data Factory).
  • Cloud & Microservices Implementation: Leverage Azure Cloud services to build scalable, secure, and high-performance data solutions. Develop RESTful APIs and microservices to facilitate data access and support business intelligence needs.
  • Quality Assurance & Data Governance: Ensure data accuracy, consistency, and security through rigorous testing, monitoring, and adherence to data governance standards. Collaborate with data governance teams to implement and maintain data cataloging practices.
  • Collaboration & Continuous Improvement: Work closely with data scientists, and Insights & Analytics teams to support advanced analytics and machine learning initiatives. Participate in code reviews, CI/CD pipeline development, and continuous process improvements to enhance overall system performance.
Basic Qualifications
  • Experience: 5-7 years of recent, hands-on experience in data engineering or a related field, with a proven track record of building robust data pipelines.
  • Education: Bachelor s Degree (or higher) in Computer Science, Engineering, or a related discipline.
Technical Proficiency:
  • Demonstrated experience with distributed computing platforms (e.g. Databricks), to process and analyze large datasets.
  • Proficient in programming languages and frameworks such as Python, SQL, and PySpark.
  • Strong experience with Azure Cloud environments, including Azure Data Lake Gen2, Azure Data Factory, and SQL Data Warehouse.
  • Solid understanding of ETL processes and data integration best practices.
  • Domain Experience: Understanding of pharmaceutical industry datasets (e.g., APLD) or similar large-scale healthcare datasets (Electronic Health Records).
  • Development Practices: Experience with microservices architecture, REST API development, version control (Git), and CI/CD pipelines (e.g., Azure DevOps).
  • Problem-Solving & Collaboration: Demonstrated ability to troubleshoot complex data issues, optimize system performance, and work effectively within a team environment.
Preferred Qualifications
  • Industry Expertise: Prior experience within the pharmaceutical or healthcare industry is highly desirable.
  • Data Visualization & Reporting: Exposure to traditional visualization/reporting tools (e.g., Power BI, Tableau) and GenAI tools (e.g. Databricks Genie) to support data-driven decision-making. Experience with developing semantic data models for visualization tools is a plus.
  • Machine Learning & MLOps: Basic understanding of machine learning workflows and experience with ML pipelines or MLOps practices is a plus.
  • Additional Data Technologies: Knowledge of other data storage and processing technologies (e.g., Vector databases, Cosmos DB, Redis, Elasticsearch) is beneficial, though not the primary focus.
  • Cloud & Container Technologies: Experience with container orchestration platforms (e.g., Kubernetes) and additional cloud services to further enhance scalable deployments is beneficial, though not the primary focus.

Employment Type: Full Time, Permanent

Read full job description

Prepare for Data Engineer roles with real interview advice

Top GlaxoSmithKline Pharmaceuticals Data Engineer Interview Questions

Q1. How to convince doctor about a product?
Q2. Guesstimate: How many MRs will be required to deliver new oncological drug in 4 metropolitan cities?
Q3. What is sales and marketing?
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What people at GlaxoSmithKline Pharmaceuticals are saying

Data Engineer salary at GlaxoSmithKline Pharmaceuticals

reported by 20 employees with 3-10 years exp.
₹16.5 L/yr - ₹30.8 L/yr
112% more than the average Data Engineer Salary in India
View more details

What GlaxoSmithKline Pharmaceuticals employees are saying about work life

based on 1.8k employees
78%
46%
48%
97%
Flexible timing
Monday to Saturday
Within city
Day Shift
View more insights

GlaxoSmithKline Pharmaceuticals Benefits

Job Training
Health Insurance
Soft Skill Training
Education Assistance
Child care
Cafeteria +6 more
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