EDM Operations Engineer – Enterprise Data Operations

IN: Hyderabad - LCCI, India

Eli Lilly and Company

Lilly is a medicine company turning science into healing to make life better for people around the world.

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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Lilly’s Purpose

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Come bring to life technologies to lead in Pharma-tech!

The Enterprise Data organization has developed an integrated and intuitive data and analytics platform. This platform enables Lilly team members to quickly ingest, transform, consume, and analyze data sets in statistical environments, advanced analytics environments, and BI/visualization tools. Contributors can easily ingest, prepare, and analyze new data sets (cleanse, enhance, publish) for others to utilize. 

What you will be doing:

Reporting to the Manager LCCI Tech@Lilly, In this role, you will work closely with data engineers, business analyst, quality, data owners and stakeholders to efficiently manage, monitor and optimize the on-going flow of quality data to consumers for data sharing and analytics.

Key Responsibilities:

  • Monitor Data Pipelines: Ensure the timely and accurate flow of data through pipelines.

  • Incident Management: Detect, troubleshoot, and resolve issues in data pipelines to maintain data quality and integrity.

  • End user communication: Inform downstream teams of incidents or anomalies with data, quality, availability, or performance and expected resolution.
    Root Cause Analysis: Review Incidents and Problems to Learn and Improve future processes.

  • Performance Optimization: Continuously optimize data pipeline performance ensuring timely availability of data.

  • Cloud FinOps: Continuously monitor data pipeline cost identifying and implementing cost-saving opportunities without compromising performance.

  • Data Quality Assurance: Implement measures to ensure data accuracy, consistency, and reliability.

  • Lifecycle management: Assess, execute, and test any necessary product upgrades to enabling services.

  • Cyber: Apply any required patches or changes for identified security vulnerabilities.

  • Configuration Changes: Execute configuration changes for configurable core components.

  • Automation: Develop and implement automation for monitoring and incident management processes.

  • Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and improve pipeline performance.

  • Documentation: Maintain comprehensive documentation of data operations processes, monitoring procedures, and issue resolution protocols.

  • Security and Compliance: Ensure data security and compliance with relevant processes and standard operating procedures.

  • Validation: Execute periodic reviews to ensure system remains secure and in a validated state.

  • Consult and Advise: On use of data products.

  • Strong decision-making capabilities and the ability to drive initiatives with clarity and purpose.

    Qualifications / Skills:

  • Bachelor's Degree or equivalent in Information Technology or related field.

  • 3 - 8 years of work experiences including Information Technology experience in multiple technical areas and roles.

  • Willingness to work in rotational shifts.

  • Strong analytical skills to troubleshoot and resolve issues quickly and efficiently.

  • Strong collaboration skills to work effectively with cross-functional-teams including data engineers, business analyst, data scientist and business stakeholders.

  • Strong communication skills to articulate technical concepts to non-technical stakeholders and document processes.

  • Flexibility to adapt to new technologies and methodologies as the data and technical landscape evolves.

  • Mastery of ETL processes and tools and SQL

  • Minimum of 3 years hands-on experience with AWS Services and Security (S3, RDS, Lambda, Glue, EC2, Redshift, CloudWatch, CloudTrail, IAM)

  • Experience with CI/CD, GitHub Actions and Apache Airflow

  • ITIL Foundations Certified or experience with incident, problem, event and change management best practices.

  • AWS Foundations Certified and/or AWS Certified DevOps Engineer

  • Experience with agile frameworks (like Kanban, SAFe, etc.) and solid understanding of associated practices and tools.

  • A high level of intellectual curiosity, external perspective, strong learning agility and innovation interest.


Additional Skills/Preferences

  • Experience working in AWS Data Lakehouse architecture.

  • Deep understanding of privacy regulations about Information technology and security.

  • Position located in Hyderabad, India.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

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Tags: Agile Airflow Architecture AWS CI/CD DataOps Data pipelines Data quality DevOps EC2 ETL GitHub ITIL Kanban Lambda Pharma Pipelines Privacy Redshift Security SQL Statistics

Region: Asia/Pacific
Country: India

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