Lilly BU IDS - Omnichannel Ops - Data Engineer in Bengaluru, India
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.
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 39,000 employees 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 globe.
Business Units Information and Digital Solutions (IDS) is a global organization strategically positioned so that through information and technology leadership and solutions, we create meaningful connections and remarkable experiences, so people feel genuinely cared for. The Business Unit IDS organization is accountable for designing, developing, and supporting commercial or customer engagement services and capabilities that span multiple Buiness Units (Bio-Medicines, Diabetes, Oncology, International), functions, geographies, and digital channels. The areas supported by Business Unit IDS includes: Customer Operations, Marketing and Commercial Operations, Medical Affairs, Market Research, Pricing, Reimbursement and Access, Customer Support Programs, Digital Production and Distribution, Global Patient Outcomes, and Real-World Evidence.
This position is responsible for providing support for ETL / ELT / File Movement of data. The key responsibilities will be to process and move data between different compute and storage services, as well as on-premises data sources at specified intervals. The employee will also be responsible for the creation, scheduling, orchestration and management of data pipelines.
Data engineers are responsible for ensuring the availability and quality of data needed for analysis and business transactions. This includes data integration, acquisition, cleansing, harmonization and transforming raw data into curated datasets for data science, data discovery, and BI/analytics. Responsible for developing, constructing, testing and maintaining data sets and scalable data processing systems.
Data engineers work closest with Data Architects and Data Scientists. They also work with business and IT groups beyond the data sphere, understanding the enterprise infrastructure and the many source systems.
Input is raw datasets. Output is analytics-ready, integrated/curated datasets.
Key capabilities in this role family include:
Data Acquisition - is the process of gathering and storing data in a location and format that it can be consumed for data preparation and/or downstream business uses.
Data Preparation - is an iterative process for exploring, integrating, cleaning, validating and transforming raw data into curated datasets
Data Publishing - is the act of releasing data in consumable form for (re)use by others.
Note: All data engineer roles should have a foundational set of knowledge in: communication, leadership, teamwork, problem solving skills, solution / blueprint definition, business acumen, architectural processes (e.g. 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
Bachelor’s degree in computer science, information technology, management information systems or equivalent work experience
2-5 years of experience in the core tools used by the solution services team (e.g. SQL, Tableau, Informatica (PowerCenter), AWS, Python etc.)
Ability to work with business owners to define key business requirements and convert to technical specifications
Experience with security models and development on large data sets
Expertise in the design, data modeling creation, and management of large datasets/data models
Ensure successful transition of applications to service management team through planning and knowledge transfer
Develop expertise of processes and data used by business functions within the US Affiliate
Responsible for system testing, ensuring effective resolution of defects, timely discussion around business issues and appropriate management of resources relevant to data and integration
Expertise in system performance and user experience of solutions
Expertise with analytics and business intelligence solutions (e.g. 1 or more of Tableau, PowerBI, QuickSight, Datorama, etc.)
Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery
Experience with AWS
ETL/File Movement tools.
Experience with Agile Development.
Familiarity with AWS database technologies.
Experience with Lambda, Python and Spark
Familiarity with S3, Kinesis, Glue and Athena.
Experience with Apache Airflow and Ansible
Experience with GitHub and Jenkins toolsets
Preferred Qualifications / Certifications
Experience working in regulated environments and with internal systems quality policies and procedures
Experience in working in Scrum - agile methodologies, coding standards, code reviews, source management (GITHUB), build processes
Knowledge of the data architectures associated with information integration, data visualization, & data warehousing
Experience in development and deployment on cloud infrastructure
Pharmaceutical or healthcare industry experience
Early drug discovery industry experience
Experience with Sales & Marketing Business processes & systems
Defining best practices and developing technical standards, design principals, best practices, and frameworks
Business Intelligence Certifications
Technical curiosity and desire to innovate
Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( LillyRecruitingCompliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.