Senior Data Engineer - Indiana

RADcube•Indianapolis, IN

2d•Onsite

About The Position

We are seeking a strong Senior Data Engineer to support a data and AI engagement with our client. The ideal candidate has deep hands on experience building data solutions on AWS and Databricks, along with the ability to understand business requirements, communicate with stakeholders, and contribute to broader business opportunities. This role supports one of our client's business units, with potential for the engagement to expand.

Requirements

Strong hands on data engineering background.
Strong hands on experience with Databricks (Spark, Delta Lake, Unity Catalog).
Strong hands on experience with AWS data services.
Strong Python and SQL skills.
Ability to translate business requirements into technical solutions.
Excellent communication and stakeholder management skills.
Comfortable working in a client facing environment.
Must be local to Indianapolis, IN and able to work onsite.

Nice To Haves

Databricks certification
NVIDIA or related AI and data ecosystem
AI and modern data technologies
Pharmaceutical or life sciences experience
Prior experience in a large enterprise client environment
Experience identifying additional technology or business opportunities

Responsibilities

Design, build, and support scalable data pipelines on Databricks and AWS.
Develop ETL/ELT solutions using Spark, PySpark, and SQL.
Implement Delta Lake, Unity Catalog, and Databricks Workflows.
Work with AWS data services such as S3, Glue, Lambda, Redshift, and IAM.
Optimize pipeline performance, cost, and reliability.
Collaborate with business and technical stakeholders to translate requirements into technical solutions.
Contribute to data architecture and solution design discussions.
Communicate technical concepts clearly to business stakeholders.
Identify opportunities where data and AI can address additional business needs.
Contribute to the growth of the overall engagement.