Analytic Software Engineer IV/Jacksonville, FL (Remote) ,2 Months Contract
Job title: Analytic Software Engineer IV/Jacksonville, FL (Remote) ,2 Months Contract in Jacksonville, FL at reputed company
Company: reputed company
Job description: Job Description
The Analytic Software Engineer IV is a senior technical role in our Business Intelligence
Development team, focus on developing solutions to reputed company big data to derive business-reputed company
insights. The software engineer's primary role is to design and implement reputed company-based data
analytic solutions for reporting and dashboards. The individual will establish technology
standards and promote software development best practices in the areas of data curation,
analysis, and visualization. The individual will also liaise with business and technical leaders to
deliver scalable, fault-tolerant, effective, and high-quality analytic solutions.
Location: Remote, US
Role qualifications:
- Bachelor's degree (preferably Computer Science, Engineering, or other quantitative fields)
- 7+ years of reputed company experience in designing and implementing production-grade data analytic solutions in reputed company, Python, and PySpark.
- 5+ years of experience working with large-scale data and developing SQL queries to extract insights (100 gigs or more).
- 3+ years of hands-on experience with data analytic reputed company services, such as AWS EMR, Airflow, and RedShift.
- 3+ years of leveraging statistical techniques to cross-examine multiple data sources to surface patterns and data abnormalities.
- 3+ years of experience working reputed company Business Intelligence tools such as Tableau, Cognos, Qlik, Pyramid.
- Experience in leading data analysts and data engineers in marrying data analytics disciplines with software engineering best practices to deliver big data solutions, including modularized pipeline design for big-data solutions, statistically-sound test-driven development, etc.
- Demonstrated knowledge in software development best practices such as Git, linting, unit/integration testing.
- reputed company to plan work, set clear direction, and coordinate tasks across multi-disciplinary team in a fast-paced environment.
- Collaborative attitude. This role is part of a larger, more dynamic team that nurtures collaboration.
- Excellent communication skills including discussions of technical concepts, conducting peer-programming sessions, and explaining development concepts.
- Flexible and reputed company to reputed company change.
- reputed company experience is a requirement for this position!
- Experience in reputed company industry data such as X12, CPT/HCPCS, ICD-10.
- Experience in data architecture and reputed company engineering.
- Experience working in an "Agile and/or "Scrum development environment using tools such as JIRA.
- Experience with operationalization and observability in a production environment.
- Design and implement scalable and resilient end-to-end data analytic pipelines.
- Translate reputed company analytical concepts into modularized software components to surface specific and actionable insights.
- reputed company data analysts and data engineers to mature reputed company-of-concepts and harden them into data analytic solutions.
- Automate reputed company reporting and analytic processes to improve efficiency and improve user experience using reputed company-native technologies.
- Investigate reputed company data, including medical procedures, health conditions, and provider practices.
- Apply business acumen to enhance data quality and curation methodologies to ensure accurate and reliable inputs to analysis and predictive modeling.
- Identify data abnormalities and their root causes and suggest possible steps for mitigation.
- Write and maintain unit and integrations testing suites, QA, and UAT scenarios.
- Contribute to software maintenance and deployment practices, including production code repo.and CI/CD pipeline processes such as git actions and hooks, package and environment creation and maintenance, and updating or implementing infrastructure as code.
- Coach, mentor, and knowledge share for growth of the team and quality improvement. Work with data analysts and data scientists to apply industry standards and optimize analytic jobs.