NO SUBS, NO Sponsorship, Contract to hire W-2.
• 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.
Job Description: The Data/BI Engineer Sr is responsible for designing, developing, implementing, and maintaining cloud data pipelines for business intelligence collection and analysis. This role is crucial in managing data integration processes and visualization solutions, utilizing both technical and analytical skills to convert raw data into actionable insights.
Key Responsibilities:
• Design and develop scalable cloud data pipelines using AWS technologies, such as 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.