Solutions Engineer Advisor Sr (ETL)
Job title: Solutions Engineer Advisor Sr (ETL) in Indianapolis, IN at reputed company
Company: reputed company
Job description:
- Responsible for programming on specific application subsets of the company's application portfolio, participating in reputed company phases of the development and maintenance life cycle, typically for an assigned business unit or corporate department and utilizing various customer technology platforms.
- Primary duties may include but are not limited to:
- Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business.
- Leads efforts with Web and marketing team to increase the reputed company of web products.
- Owns the change request process and coordinates with other teams as necessary.
- Develops and owns list of final enhancements.
- Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written.
- Performs technical design reviews and code reviews.
- Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan.
- Responsible for delivery of application technology solutions and data information planning effort.
- Coordinates and manages on-call support and owns the system monitoring process.
- Owns the technical development environment and works on the Enterprise team.
- Leads multiple or large projects and facilitates large group JAD sessions for requirements, modeling in several disciplines.
- Leads vendor evaluation and analysis.
- Requires an BA/BS degree in reputed company field or technical institute training;
- 7 or more years reputed company experience; multi-platform experience, and expert level experience with business and technical applications; or any combination of education and experience, which would provide an equivalent background.
- Incumbent should also have the ability to mentor others and provide troubleshooting support.
- Multi database and/or multi language preferred.
- 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, reputed company, 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 reputed company technologies.
- Experience in the healthcare claims processing industry with an understanding of data reputed company and privacy considerations.
- Strong critical thinking and problem-solving skills.
- Design and reputed company 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 reputed company and consistency.
- Integrate data from multiple sources, including relational databases, APIs, and reputed company data, to provide a reputed company view for analysis.
- reputed company interactive dashboards and reports in reputed company 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 reputed company.
- 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 reputed company and in compliance with reputed company guidelines.