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A leading technology company located in Indianapolis is seeking an experienced Data Engineer to design and implement cloud-based data pipelines and ETL solutions. The successful candidate will collaborate with cross-functional teams to enhance data visibility and ensure project alignment with business needs. The role offers flexible work arrangements, supporting both remote and hybrid schedules, and includes competitive compensation based on experience.
Preferred Skills, Capabilities and Experiences:
• 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.
Key Responsibilities:
• 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.
Standard work days (Mon-Fri--40 hours per week) and working with teammates within EST timeframes (7am-6pm window) to support team collaboration and meetings. (Remote role as a temp worker) Hybrid schedule if converted--must be 50 miles from one of these locations.
These Locations:
Indianapolis, IN
Denison, TX
Baltimore, MD
Harrisburg, PA
Syracuse, NY
Portland, ME
Hingham, MA
Compensation78.00 + depending on experienc