Data Engineer QMS

Eli Lilly And Company

3 - 4 years

16 - 18 Lacs

bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

computer science pharma machine learning data governance healthcare information technology aws analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and build scalable data pipelines using AWS (Glue, Lambda, Redshift, S3) and Azure Data Factory .
Develop and maintain ETL workflows for structured and semi-structured data.
Work with Azure Databricks for data transformation, machine learning workflows, and analytics.
Optimize performance and reliability of Azure/AWS databases.
Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
Implement CI/CD pipelines using GitHub, Jenkins, Docker , and manage DevOps deployment for data services.

Required Skills

3-5 years of experience in data engineering and integration development .
Strong proficiency in Python and SQL .
Hands-on experience with AWS and Azure services.
Familiarity with Azure Databricks , including Databricks SQL, Data Science & Engineering.
Knowledge of Azure Data Factory for orchestrating data workflows.
Understanding of data modelling , data governance , and security protocols .

Preferred Skills

MuleSoft Certified Developer certification.
Experience in Pharma/manufacturing and QMS would be an added advantage
Experience with Spark, Kafka , or other big data tools.
Implement and manage integration solutions using MuleSoft Anypoint Platform , including API Manager and Runtime Manager.
Knowledge of containerization (Docker, Kubernetes).
Experience with Power BI or Tableau for visualization.
Exposure to Agile/Scrum methodologies .

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