| Data Analytics Engineer :: 100% REMOTE :: NO H1B at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=893573&uid= NEED HEALTHCARE INDUSTRY EXPERIENCE No H1B Analytic Software Engineer 100% Remote Area 4 Month Contract An Internal Video Technical Screening With My Vendor For 15-20 Minutes then Video Interview Job Description: Top Skills' Details: 1. 7+ years of experience designing and implementing production-grade data analytic solutions in Python and PySpark. 2. Hands on development experience with Scala and Spark. This role will be hands on 100% of the time. Scala is the top programming requirement for this role. Need someone strong in Scala. 3. Experience with Airflow. Ask candidates what they like about airflow, what they don't like and listen to how they explain it. 4. 5+ years of experience working with large-scale data and developing SQL queries to extract insights (100 gigs or more). This person must have extensive SQL experience. 5. This person should have a solid engineering background but also be able to look at data, make design decisions, and architectural decisions. They will be a team of 1 and negotiating and solutioning with product teams, data architects, data analysts and data engineers. This person needs to have true solutioning experience. 6. Experience with AWS as Availity is in the middle of migrating over to AWS and their internal teams lack AWS knowledge. **Candidates can work up to 20 hours of OT**. **Since this is a short term contract we cannot consider candidates who have pre planned PTO other than core holidays for remainder of year**. Secondary Skills- Nice to Haves: Cognos Description: The Analytic Software Engineer IV is a senior technical role in our Business Intelligence Development team, focus on developing solutions to leverage big data to derive business-ready insights. The software engineers primary role is to design and implement cloud-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: Bachelors degree (preferably Computer Science, Engineering, or other quantitative fields). 7+ years of related experience in designing and implementing production-grade data analytic solutions in Scala, 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 cloud 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 within 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. Able 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 able to embrace change. To differentiate yourself, you: Experience in healthcare industry data such as X12, CPT/HCPCS, ICD-10. Experience in data architecture and cloud 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. What you will be doing: Design and implement scalable and resilient end-to-end data analytic pipelines. Translate complex analytical concepts into modularized software components to surface specific and actionable insights. Lead data analysts and data engineers to mature proof-of-concepts and harden them into data analytic solutions. Automate manual reporting and analytic processes to improve efficiency and improve user experience using cloud-native technologies. Investigate healthcare 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. Additional Skills & Qualifications: BI tools are a nice to have: Availitys BI platform is currently on Cognos and they are migrating over to Pyramid. Work Environment: Agile, SDLC. Farah Sheikh Technical Recruiter Trail Blazer Consulting LLC 3811 Ditmars, Blvd # 30 Astoria, New York, NY 11105 Phone: +1 (914)-650-4600 Ext: 145 [email protected] Keywords: continuous integration continuous deployment quality analyst business intelligence information technology New York http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=893573&uid= |
| [email protected] View All |
| 10:36 PM 29-Nov-23 |