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51 Eli Lilly and Company Jobs

Data Engineer, Research IDS

5-10 years

Bangalore / Bengaluru

1 vacancy

Data Engineer, Research IDS

Eli Lilly and Company

posted 1d ago

Job Role Insights

Flexible timing

Job Description

Information Management is the overall management of all types of information, structured and unstructured, whether produced internally or externally, which are used to support decision-making, business processes and digital services.

Individuals in Information Management are perceived as subject matter experts on the Cloud Database products for their function to provide recommendation on Cloud services.

Key capabilities in this role family includes:

  • Information Lifecycle - is the application of policies and standards to enable information management continuum (the acquisition and exchange, validation, integration and preparation, accessibility, and storage and archival of information).

  • Information Strategy - is responsible for defining the information framework that ensures compliance with regulations, standards and codes of good practice relating to information and records management, information assurance and data protection.

  • Information Governance - ensure the data assets are fit for purpose, reliable, and protected at all levels of organization across all functions and locations.

  • Information Stewardship - include management of taxonomies, data and metadata along with data quality. Ensures Master and Reference data domains are well defined and mapped to authoritative sources.

Note : All information management roles should have a foundational set of knowledge in: communication, leadership, teamwork, problem solving skills, solution / blueprint definition, business acumen, architectural processes (eg blueprinting, reference architecture, governance, etc), technical standards, project delivery, and industry knowledge.

Business Analysis and Technical Leadership:

  • Engages with business and proactively seeks opportunities to deliver business value.

  • Understands business requirements and effectively translates business needs and process into technical terms, and vice versa

  • Elicits and defines requirements

  • Ensures appropriate business roles are engaged in solution execution.

  • Participates in design reviews to ensure traceability of requirements.

  • Networks with appropriate IT colleagues to determine solutions to meet business partners needs.

  • Seeks opportunities to reuse existing processes and services to streamline support and implementation of key systems.

  • Stay abreast of tools and technologies to influence IT strategy so that it provides best usage opportunities for business

  • Ability to adapt quickly in a constantly changing environment

Required Technology skillset:

  • 5+ year s hands-on experience with AWS services, AWS Cloudformation(CFT), CI/CD, AWS CodePipeline, CodeBuild, databases and related technologies.

  • Programming experience with SQL and Python.

  • Strong Hands-on experience in built/deploy of end-to-end project.

  • Experience in ETL processing in AWS cloud, experience in works on orchestration tools preferably Airflow.

  • Strong working experience in data lakes and data concepts.

  • Advanced administration experience with AWS PaaS DB offerings such as RDS, Aurora, DynamoDB, ElastiCache RedShift, and IaaS options ie Databases provisioned on EC2 instances.

  • Experience in managing operational support and implementation of large-scale, enterprise level solutions.

  • Oversees and provides technical direction in design, install, configure, maintain, troubleshoot, test, monitor, and analyze the performance of the AWS Data Instances including AWS Postgres and SQL Server . Provide detailed usage, storage, and system performance to management.

  • Design data models, implement, automate, optimization and monitor data pipelines

  • Advanced knowledge of database security, backup and recovery, and performance monitoring standards.

  • Expertise with the design of infrastructure and integration into new and existing database systems

  • Working knowledge on different AWS technologies such as S3, Redshift, Lambda, Athena,Glue, etc.. and explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

  • Should have worked on at least 1 project involving hybrid cloud implementation.

  • Should be aware of basic ITSM principles and knowledge.

  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

  • Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.

Basic Qualifications:

  • bachelors degree in computer science or related scientific discipline.

  • 5 + years of relevant work experience.

Preferred Qualifications / Certifications:

  • Experience working in regulated environments and with internal systems quality policies and procedures.

  • Experience in working in Scrum /agile methodologies.

  • Experience in development and deployment on cloud infrastructure.

  • Pharmaceutical or healthcare industry experience.

  • Defining best practices and developing technical standards, design principals, best practices, and frameworks.

  • Technical curiosity and desire to innovate.


Employment Type: Full Time, Permanent

Read full job description

Prepare for Data Engineer roles with real interview advice

Top Eli Lilly and Company Data Engineer Interview Questions

Q1. What is the difference between descriptive and inferential statistics? Give an example to support the same.
Q2. Which project are you currently working on? What statistical techniques are you planning to use in the project?
Q3. What is degree of freedom, and what does it signify? What is the real interpretation of the degree of freedom?
View all 38 questions

What people at Eli Lilly and Company are saying

3.1
 Rating based on 4 Data Engineer reviews

Likes

Culture and colleagues

Dislikes

Manager and senior management

  • Skill development - Poor
  • +3 more
Read 4 Data Engineer reviews

Data Engineer salary at Eli Lilly and Company

reported by 64 employees with 1-8 years exp.
₹11.8 L/yr - ₹34 L/yr
83% more than the average Data Engineer Salary in India
View more details

What Eli Lilly and Company employees are saying about work life

based on 425 employees
89%
86%
64%
100%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Eli Lilly and Company Benefits

Health Insurance
Work From Home
Cafeteria
Job Training
Free Food
Team Outings +6 more
View more benefits

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