AWS Cloud Data Engineer
Job title: AWS Cloud Data Engineer in Indianapolis, IN at United Global Technologies
Company: United Global Technologies
Job description: Job Description:Hybrid preferred but 100% remote is fine until conversion then Hybrid one day a week onsite.
- Public Trust Clearance eligible in addition to standard background check
- Over 5 years of experience in designing, developing, testing, and implementing enterprise ETL solutions, as well as process automation and orchestration.
- Proficiency with cloud data processing platforms and technologies, including AWS data pipeline toolsets.
- Expertise in data process orchestration and the design and development of near-real-time and batch data pipelines.
- Skilled in programming languages such as Python, Scala, SQL, R, and T-SQL.
- Ability to analyze, troubleshoot, and optimize SQL queries, with the capability to recommend improvements.
- Experience in analyzing and monitoring data processing resources, implementing proactive alerts and notifications based on SLAs.
- Possession of relevant certifications in data engineering/development platforms and related technologies.
- Experience in the healthcare claims processing industry with an understanding of data security and privacy considerations.
- Strong critical thinking and problem-solving skills.
- Design and develop scalable cloud data pipelines using AWS technologies, such as AWS Glue, for extracting, transforming, and loading (ETL) data from various sources into data lakes or warehouses.
- Create and maintain data models to support efficient querying and reporting, ensuring data integrity and consistency.
- Integrate data from multiple sources, including relational databases, APIs, and unstructured data, to provide a unified view for analysis.
- Develop interactive dashboards and reports in Microsoft Power BI to present data insights to stakeholders and facilitate informed decision-making.
- Optimize ETL processes and Power BI reports for performance, ensuring data availability and responsiveness.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
- Demonstrate proficiency in SQL and scripting languages such as Python or Scala.
- Build data visualizations to effectively illustrate trends, patterns, and outliers.
- Monitor and refine data pipelines and visualization tools to meet SLAs and delivery expectations.
- Provide timely updates to customers, business units, and staff regarding projects and tasks.
- Conduct proactive data reviews to ensure the quality and accuracy of reporting solutions.
- Ensure data processing and storage operations are conducted efficiently and in compliance with security guidelines.
- Estimated dates: 06/16/2025 start to 06/01/2026 end; likely to extend and/or convert temp-hire after the temp work is completed