Senior Data Engineer

Key Skills

Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data pipelines, Data science techniques, Data Warehousing, ETL/ELT technologies, Github, IT, Lambda, Python Programming, SQL

Job Description

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.

• Competency

Data Engineer

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

Must Have:

• Bachelor’s degree in computer science, information technology, management information systems or equivalent work experience

• 7+ years of development experience in the core tools and technologies like SQL, Python, AWS ( Lamda, Glue, S3, Redshift, Athena, IAM Roles & Policies) , PySpark used by the solution services team.

• Architect and build high-performance and scalable data pipelines adhering to data lakehouse, data warehouse & data marts standards for optimal storage, retrieval and processing of data.

• 3+ years of experience in Agile Development and code deployment using Github & CI-CD pipelines.

• 2+ years of experience in job orchestration using Airflow.

• 2+ years of experience leading a small team of data engineers.

• Expertise in the design, data modelling, creation and management of large datasets/data models

• 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

• 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

• Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery

Preferred Qualifications / Certifications

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

• Familiarity with AWS database technologies.

• Knowledge of the data architectures associated with information integration & 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

• Technical curiosity and desire to innovate

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.