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Senior Data Engineer - Databricks

RADcube - A NLogix Company
Posted a month ago, valid for 10 days
Location

Indianapolis, IN 46262, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The position is for a Senior AWS Data Engineer located in Indianapolis, IN, focusing on a strategic STRADA Modernization initiative.
  • Candidates should have a minimum of 5 years of experience with AWS services, Databricks, and data pipeline development.
  • The role involves designing and maintaining data ingestion pipelines, optimizing data models within a Databricks Lakehouse, and ensuring data governance and compliance.
  • Strong hands-on experience with SQL and Python, as well as expertise in building end-to-end ETL/ELT data pipelines, is required.
  • The salary for this position is competitive and commensurate with experience.

Job Title: Senior AWS Data Engineer

Location: Indianapolis, IN 

Role Overview

We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative. This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare analytics (RWD/HEOR). The ideal candidate will have strong hands-on experience with AWS, Databricks, and data pipeline development, along with the ability to work closely with both technical and business stakeholders.

Key Responsibilities
  • Design, develop, and maintain data ingestion pipelines for real-world data (RWD) sources
  • Build and optimize data models within a Databricks Lakehouse architecture
  • Ensure data governance, quality, and compliance standards are met
  • Optimize cost, performance, and resource utilization across AWS and Databricks
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions
  • Provide technical guidance, coding standards, and best practices
  • Support knowledge sharing through documentation and training sessions
  • Deliver status updates and progress reports to senior leadership


Requirements

Required Qualifications

  • Strong hands-on experience with AWS services (S3, Glue, Lambda, Redshift, etc.)
  • Proven experience with Databricks (Delta Lake, notebooks, workflows)
  • Expertise in SQL and Python
  • Experience building end-to-end ETL/ELT data pipelines
  • Strong understanding of data modeling techniques
  • Experience with data governance, quality, and compliance frameworks
  • Ability to work independently and in a collaborative team environment
  • Databricks Certification 
  • Experience building and managing CI/CD pipelines 
  • Experience with workflow orchestration tools
  • Exposure to data observability and lineage tools
  • Experience with monitoring, logging, and observability frameworks

Highly Preferred Skills

  • Experience in Healthcare / Pharma domain
  • Exposure to RWD (Real World Data) or HEOR analytics
  • Familiarity with Lakehouse architecture / Medallion (Bronze-Silver-Gold) models
  • Experience optimizing cost and performance in cloud environments
  • Strong communication and stakeholder management skills





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