Senior Business Data Engineer
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Job Description
Senior Business Data Engineer designing, deploying, and maintaining data analytics pipeline for business insights. Collaborating with senior leadership and data teams to improve metrics and processes.
Responsibilities:
- Works with Senior Leadership on both stated and anticipated data needs
- Monitors the existing metrics, analyze data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements
- Develops queries for ad hoc business projects, as well as ongoing reporting
- Builds a metadata system where all available data is maintained and cataloged
- Provides significant input on the development of reliable data pipelines that translate raw data into powerful business analytics
- Implements, and supports key datasets that avail structured and timely access to actionable business insights
- Collaborates where s/he works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance across the department and the business at large
- Provides analytical support where s/he develops and manages scalable data processing platforms that are used for exploratory data analysis and real-time analytics
- Oversees, designs, and develops algorithms for real-time data processing within the business and to create the frameworks that enable quick and efficient data acquisition
- Retrieves and analyzes data through the use of SQL, Excel, among other data management systems
- Builds data loading services for the purpose of importing data from numerous disparate data sources, inclusive of APIs, logs, relational, and non-relational databases
Requirements:
- Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field or 8-10 years of experience
- Demonstrates experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure
- Experience in data warehousing inclusive of dimensional modeling concepts and demonstrate proficiency in scripting languages
- Substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases
- Result-driven individual, be passionate and a self-starter, be proactive requiring minimal supervision, be highly organized, have an ability to handle multiple tasks and meet tight deadlines, be a creative and strategic thinker, work comfortably work in a collaborative setting, work comfortably with senior departmental leadership, and demonstrate an ability to remain calm during times of uncertainty and stress, inspiring the same in his team
Benefits:
- 401(k) Plan (35% employer match per dollar up to 10% employee contribution)
- Medical Coverage (3 platforms: UnitedHealthcare, Reference Based Pricing includes member advocacy; and Kaiser)
- RX Home Delivery
- HSA with Employer Contribution
- In-vitro Fertility (treatment coverage)
- Dental
- Vision (2 plans: 12-month and 24-month frames allowance)
- FSA Plans (Healthcare, Dependent Care and Limited Purpose)
- Pre-tax Commuter Plans
- Employer-paid Life Insurance
- Employer-paid Short + Term Disability
- Long Term Disability (2 plans: Employer-paid or optional Self-paid)
- Paid Parental Leave (4 weeks at 100%)
- Employee Assistance Plan
- Voluntary Life Insurance for team member, spouse and child
- Voluntary Accidental Death for team member and spouse
- Legal/ID Theft Plans
- TeleHealth
- Wellness via Omada Health (healthy living solution)
- Travel Assistance
- Business Travel Accident Coverage
- Medical for foreign travel coverage
- Employer-paid Pet Telehealth
- Accident Insurance
- Critical Illness Insurance
- Hospital Indemnity Insurance
- Volunteer Time Off
- 10 Holidays
- Summer Sizzle
- On Demand Pay (Daily Pay)
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