Senior Business Data Engineer

🕒 May 20

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C1

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

💰 $1M Venture Round on 2009-08

C1, the global technology solution provider elevating connected human experiences, is transforming the industry by creating connected experiences that make a lasting impact on customers, our teams, and our communities. More than 6,000 customers use C1 every day to help them build meaningful connections through innovative and secure experiences. Our successful track record of tangible positive business outcomes for our customers is a testament to our ability to provide them with the highest level of customer satisfaction, responsiveness, and deep domain expertise. C1 collaborates with nearly half of the Fortune 100, along with other key global industry partners to deliver solutions with a total lifecycle approach. C1 holds more than 5,600 technical certifications across thousands of engineers throughout North America and India, including three Customer Success Centers.

📋 Description

• 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)