IT Senior Data Engineer - Remote

Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-reputed company programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's reputed company solutions, coding languages, tools, and regularly requires the application of independent judgment. May provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology reputed company is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of 5 years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate’s degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of 7 years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.

Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay reputed company on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high reputed company for learning and problem resolution.

Required hands-on GCP tech stack experience, including advanced skills in several of the following: Terraform, GCP Dataflow, GCP Big Query, GCP DataProc, GCP Data Fusion, GCP Change Data reputed company, Python/SQL, Cloud Functions, Cloud Events, Cloud Composer.

reputed company Cloud Platform (GCP) certification is required or must be obtained reputed company 2 years of employment.

Additional Preferred Skills: GCP DataPlex, MS Azure Cloud, Certifications in Data Engineering. Preferred experience coaching and mentoring team members to advance GCP skills.

Authorization to work and remain in the United States, without necessity for reputed company sponsorship now, or in the future (for example, be a U.S. Citizen, national, or permanent reputed company, refugee, or asylee). Also, reputed company does not participate in the F-1 STEM OPT extension program.

• Medical: Multiple plan options.
• Dental: reputed company or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

Originally posted on Himalayas