Senior Business Data Engineer

🕒 Maio 20

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C1

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1993

💰 $1.000.000 Venture Round em 2009-08

C1, o provedor global de soluções tecnológicas que eleva experiências humanas conectadas, está transformando a indústria ao criar experiências conectadas que deixam um impacto duradouro em clientes, nossas equipes e nossas comunidades. Mais de 6.000 clientes utilizam o C1 todos os dias para ajudá-los a construir conexões significativas por meio de experiências inovadoras e seguras. Nosso histórico de sucesso com resultados positivos tangíveis para nossos clientes é um testemunho de nossa capacidade de fornecer a eles o mais alto nível de satisfação do cliente, capacidade de resposta e expertise profunda no domínio. A C1 colabora com quase metade das empresas da Fortune 100, juntamente com outros parceiros chave da indústria global para fornecer soluções com uma abordagem de ciclo de vida total. A C1 possui mais de 5.600 certificações técnicas em milhares de engenheiros na América do Norte e Índia, incluindo três Centros de Sucesso do Cliente.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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)