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Engineer I

4 months ago


bangalore, India Lilly Full time

We’re looking for people who are determined to make life better for people around the world.

At Lilly, we believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying. 

Path/Level: 

P1


Note: Roles are posted at the lowest level of a band, however, employees should search across all levels of the band to identify all opportunities. Employees hired on banded positions (ex: P1-P3, R1-R2, B1-B3, etc.) transfer at their current level, despite the level indicated on the job posting. For example, if a P2 candidate is selected for a P1-P3 banded position, the candidate will remain a P2 in the new role.
 

Eli Lilly Services India Pvt Ltd

 BU Omnichannel Team: Data Engineer

The purpose of the LCCI Business Units Omnichannel and Dynamic Targetin team is to finely tune our approach to engaging Healthcare Providers (HCPs), ensuring that we deliver the right message to the right targets through the right channel at the right time. This bold goal is crafted to have a profound Our team will be responsible for setting up the metrics necessary to orchestrate the Omnichannel and Dynamic Targeting capabilities.

As part of the LCCI team, we are excited to offer the role of Data Engineer who will be an integral part of the Data Governance and analytics team in 2024 and beyond.

Core Responsibilities IBU Omnichannel Data engineer

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
 

2-5 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

Good to have -

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 unrelated datasets Working knowledge of message queuing, stream processing, and highly scalable “big data” stores Experience supporting and working with cross-functional teams and Global IT Familiarity of working in an agile based working models

Preferred Qualifications/Expertise
 

Experience with relational SQL and NoSQL databases, including AWS Redshift, Postgres 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, Spark, etc. Would it be helpful to include certifications as an added bonus here? I’ve found this is something IT teams invest a lot of their time on to make sure they are up to date and is an indicator that they know the tech well?

Education:

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

Note: When applying internally for a position your current supervisor receives notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.

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

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