Senior Data Engineer Indiana
Indianapolis, IN - USA
Job Summary
Key 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.
Required Qualifications
- 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.
Preferred Experience
- 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
Required Skills:
Required Qualifications Strong hands on data engineering background. Experience with modern data platforms and data engineering ecosystems. 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. Preferred Experience Databricks 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