- Participate in use case feasibility discussions and translate business ideas/problems into use cases.
- Provide support to maintain and update models running in the production environment.
- Develop and maintain complex ETL processes and algorithms.
- Own and enhance ETL processes to move data from PMS to cloud databases.
- Monitor and troubleshoot processes on a daily basis.
- Document new and existing processes.
- Proactively identify performance issues and recommend enhancements.
- Modernize legacy data models and pipelines using ETL tools and cloud database capabilities.
- Collaborate with the Chief Architect to make improvements and larger architectural changes.
- Recommend or suggest improvements to the existing architecture.
- Support junior team members with technical questions, code reviews, and code enhancements.
- Understand business problems/needs and provide proposed solutions.
- 6+ years of data analysis experience.
- Expertise in algorithm design, machine learning, and applied statistics.
- Proven track record in SQL, specifically in cloud databases, and working with data.
- Bachelor's degree in Business, Computer Science, Information Systems, or equivalent combination of education and experience.
- Ability to work effectively with people of various backgrounds and education levels.
- Strong communication skills to timely and effectively convey information and consult with others.
- Responsible, trustworthy, and ethical behavior in decision-making.
- Proficient written communication skills with attention to proper grammar, spelling, and document formatting.
- Adaptability in problem-solving, evaluating tasks from multiple perspectives, and finding creative solutions.
- Timely completion of assigned job tasks.
- Preparation for meetings and presentations with follow-up to ensure task fulfillment.
- Commitment to achieving the company's core business objectives.
- Experience working with healthcare professionals in a clinical setting.
- Problem-solving experience in ambiguous situations.
- Thorough experience with Databricks, Glue, Talend, Informatica, or similar ETL tools.
- Cloud database experience (Redshift, BigQuery).
- Highly motivated with excellent interpersonal, problem-solving, and technical skills.
- Strong sense of urgency, accountability, and adaptability.
- Proven ability to work effectively in a team.
- Passion for data and attention to detail.
- Ability to take calculated risks based on data-driven analytics.
- Self-starter with a passion for working in a fast-paced environment.
- Choice of Medical, Dental, and Vision Plans with no waiting period.
- Voluntary Life Insurance and AD&D.
- Critical Illness, Accident, and Hospital Indemnity Coverage.
- Voluntary Long-Term Disability available.
- Health Savings Account & Flexible Spending Account options available.
- Onsite Flu Shots & Biometric Screenings.
- Fertility & Family Planning Benefits.
- Paid Parental Leave policy.
- Associate Recognition Program.
- Professional Development and Growth.
- Employee Resource Groups (PRIDE, Women, Race & Ethnicity, Parents & Caregivers).
- Up to 15 PTO days in the first year of employment for hourly associates.
- Flexible PTO policy for salaried associates.
- 11 Paid Holidays.
- Casual Dress/Work Environment.
- Corporate Wellness Program.
- Quarterly Wellness Challenges with Cash Prizes.
- Mental Health Resources.
- Companywide Associate Assistance Program.
- Competitive Salary.
- 401K Employer Match and Roth Option Available.
- Immediate eligibility for Prudential Financial Wellness Program.
- 100% Company Paid Basic Life and AD&D Insurance.
- Adoption Assistance Program.
- Pet Insurance.
- Precision Matching: We'll pinpoint the perfect candidates.
- Time Saver: Fill crucial roles faster than ever.
- Showcase Your Brand: Attract top talent aligned with your mission.
- Partnership: We're your allies in successful hiring.
- Network Access: Tap into our extensive candidate pool.
- Confidentiality: Your needs are handled discreetly.
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Senior Data Engineer - Dublin, United States - Emerald Resource Group
Description
Role: Senior Data EngineerType: Hybrid (3 Days in Office)
Location: Dublin, OH
Salary: 145k - 150k
Summary:
The Senior Data Engineer is a key contributor responsible for modeling complex problems, developing pipelines, maintaining ETL processes, and troubleshooting issues within a cloud environment. In this role, they utilize cloud databases, Databricks, and other technologies to support a robust infrastructure that drives large, revenue-generating data strategies. The Senior Data Engineer plays a crucial part in suggesting architecture ideas, collaborating with architects, and assisting junior engineers with their tasks and approaches.
Responsibilities:
Education and Experience:
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