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    Lead Data Engineer - Washington, United States - CAVA - Support Center

    CAVA - Support Center
    CAVA - Support Center Washington, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    Company Profile:
    At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that's been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.

    We foster a culture built on five core values:

    • Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.
    • Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.
    • Act with Agility: We welcome change; it's the only constant. We embrace, adjust, adapt.
    • Passion for Positivity: We greet each day with warmth and possibility.
    • Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.

    Lead Data Engineer, Big Data Engineering

    Lead Data Engineer position is a key engineering role helping us to design, build, and support our future state data platform here at CAVA. In this role you will be expected to spearhead the design, development, and implementation of our next-generation data architecture, while leading and coaching junior engineers. This role also requires a combination of technical expertise & strategic thinking as you will be collaborating closely with cross-functional teams, including data scientists, analysts, and software engineers, to bridge the gap between business requirements and technical solutions.

    What You'll Do:

    • Engineer an innovative, durable, robust, and economically viable data platform enabling business velocity, delightful user experiences, and timely/meaningful analytics
    • Design and develop data pipelines to manage how data flows between disparate systems.
    • Develop data quality metrics and perform QC tests (system and visual) to verify data integrity.
    • Interface with architects, product managers/SMEs and product analysts to understand data needs and support the implementation of the business rules into transformation.
    • Document the data blending process along with the specifications and workflow/data lineage.
    • Perform continuous integration to ensure that every step of the pipeline is testable and automated
    • Perform detailed design (the Physical Data Model and transformations), based on understanding of the Logical Data Model (the business requirements)
    • Create design documents for data integration or data reporting projects
    • Analyze data integration problems, provide solutions and recommend corrective actions.
    • Analyze source system data structures and map them to target data warehouse schemas.
    • Must have excellent skills in requirements analysis, logical/physical modeling, data transformation and data modeling and technical governance design concepts.
    • Participate in design and code reviews, documentation of design, and implementation of methodologies to ensure high quality deployments
    • Stay updated with the latest industry trends and technologies, apply them to improve software development processes.
    • Ensure security and data protection measures are implemented within software applications.

    The Qualifications:

    • 6+ years of experience as a Data Engineer, with at least 3 years in a lead role.
    • Experience and Comfort working with large scale data sets. Petabyte scale, with daily ingress and egress numbers in the 10's of Terabytes
    • Proven experience designing and implementing data architectures on AWS, Azure, or GCP.
    • Expertise in managed cloud services for data storage, ingestion, and processing. Will need to articulate the services used for various stages of the data lifecycle.
    • Strong proficiency in Python, R, Scala, or Java
    • Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc
    • Hands on experience with streaming tools such as: Kafka, Flume, Spark Streaming, or Flink
    • Believer in day one thinking and first principles engineering
    • Ability to work with and geographically disperse teams, both on and offshore
    • Willingness to work in 24x7 model when required. Expectation is that you support the code and products yourself and your team create
    • Occasional Travel Required

    Physical Requirements:

    • Ability to maintain stationary position to be able to operate a computer and other office equipment
    • Must be able to identify, analyze and assess details
    • For certain positions, must be able to occasionally move or transport items up to 50 pounds
    • Ability to communicate with others and exchange information accurately and effectively
    • Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable
    • Ability to work in a constant state of alertness and in a safe manner

    What we offer:

    • Competitive salary, plus bonus and long-term incentives*
    • Early Wage Access*
    • Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community
    • Health, Dental, Vision, Telemedicine, Pet Insurance plus more
    • 401k enrollment with CAVA contribution
    • Company-paid STD, LTD, Life and AD&D coverage for salaried positions*
    • Free CAVA food
    • Casual work environment
    • The opportunity to be on the ground floor of a rapidly growing brand

    *Indicates qualifying eligible positions only

    CAVA – Joining "A culture, not a concept"

    This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position and such duties and responsibilities may change without notice.

    As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.

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