Data Engineer - Consumer Analytics

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.
Eli Lilly Services India Pvt Ltd
Consumer Marketing Analytics Team: Data Engineer
As Eli Lilly strives to achieve its purpose of making life better for patients, we have been building up our in-house ‘Consumer Experience’ function, which designs and executes the next-generation marketing campaigns aimed at informing and educating consumers (or patients) directly.
To support the Consumer marketing teams in their decision-making, a data and analytics team has been set up simultaneously in Indianapolis (HQ) and Bengaluru (LCCI). This team is responsible for setting up the data warehouses necessary to handle large volumes of digital streaming data, create meaningful analyses, and deliver recommendations to leadership.
As part of this team, we are excited to welcome Data Engineers who will setup and operate the right Big Data tools, to ensure the right data is ingested, structured, and seamlessly flows to analytical and operational tasks downstream.
Core Responsibilities

• Create and maintain optimal data pipeline architecture ETL/ ELT into Structured data
• Assemble large, complex data sets that meet functional / non-functional business requirements and create and maintain Multi-Dimensional modelling like Star Schema and Snowflake Schema, normalization, de-normalization, joining of datasets.
• Expert level experience creating Fact tables, Dimensional tables and ingest datasets into Cloud based tools. Job Scheduling, automation experience is must.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Setup and maintain data ingestion, streaming, scheduling and job monitoring automation. Connectivity between Lambda, Glue, S3, Redshift, Power BI needs to be maintained for uninterrupted automation.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and “big data” technologies like AWS and Google
• Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency and other key business performance metrics

• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  

Required

• 6-9 years of in-depth hands-on experience in data warehousing Redshift or any OLAP to support business/data analytics, business intelligence (BI)
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like Redshift
• Data Model development, additional Dims and Facts creation and creating views and procedures, enable programmability to facilitate Automation
• Prior Data Modelling and Power BI experience
• Experience with Redshift and OLAP systems is must. GLUE pipeline skill is must
• Data compression into PARQUET to improve processing and finetuning SQL programming skills required
• Experience building and optimizing “big data” data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with structured and unstructured datasets
• Experience with manipulating, processing and extracting value from large disconnected datasets

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• Working knowledge of message queuing, stream processing, and highly scalable “big data” stores
• Experience supporting and working with cross-functional teams and Global IT
  

Preferred Qualifications/Expertise

• Experience with relational SQL and NoSQL databases, including AWS Redshift, Postgres and Cassandra
• Experience with AWS cloud services Preferable: S3, EC2, EMR, RDS, Sage Maker
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, R etc
  

Education

• Bachelor’s or master’s degree on Technology and Computer Science background
  

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 ( Lilly_Recruiting_Compliance@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.
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