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Lead Data Engineer

Mercato

Lead Data Engineer

San Diego, CA
Full Time
Paid
  • Responsibilities

    Job Description

    ABOUT MERCATO

    Mercato is the leading online marketplace empowering independent full category and specialty grocers – a $131B sales category in the US. The Mercato platform supports thousands of merchants through the entire e-commerce lifecycle and offers consumers a way to easily shop from their favorite local stores.

    Mercato was founded in 2015, inspired by experiences Founder and CEO Bobby Brannigan had growing up working at his family's independent grocery store in New York. He realized first-hand that the 40,000+ independent grocery stores in the US lacked the technology and infrastructure to keep up with the modern demands of consumers driven by e-commerce experiences.

    Today, Mercato has hundreds of thousands of consumers using the platform as well as thousands of merchants.  Mercato is backed by investors Greycroft Partners and Loeb.nyc.

    RESPONSIBILITIES

    • Define a technical vision for our data infrastructure, one that will scale with both the rapid growth of our engineering team and the demands of other business stakeholders
    • Work closely with the Analytics team to understand business requirements for data/reporting, and deliver robust end-to-end solutions that will empower Data Analysts to meet those needs in a self-service manner
    • Create scalable tools and processes to integrate the data pipeline with both our internal software as well as 3rd party applications
    • Ownership of the entire lifecycle of our data pipeline and tooling, from initial design, development, to deployment
    • Collaborate with our infrastructure team to make continuous improvements to the operability of our data systems, including improving monitoring and alerting
    • Establish best practices for application development teams related to data, including reviewing and providing feedback on technical designs
    • Help with recruiting and building a world-class data engineering team

    QUALIFICATIONS

    • 7 years or more of data engineering or related experience
    • Hands-on experience with architecting and building data pipelines and data warehousing solutions from the ground-up (vs just using a pre-existing system), understanding of different designs and trade-offs
    • Expertise with SQL and relational databases (MySQL/Postgres), including deep understanding of the operational aspects of databases and factors that can affect database/query performance.
    • Experience with data warehouse systems such as Redshift and Snowflake
    • Experience with BI/Reporting tools such as Metabase, Looker, and Tableau
    • Experience with custom ETL design, implementation and maintenance, including schema design and dimensional data modeling.
    • Experience with ETL and workflow management tools such as Airflow, AWS Glue, AWS Step Functions, and dbt
    • Experience with programming languages such as Java and Python
    • Experience with Kafka, Kinesis, or similar systems
    • Strong communications skills, ability to identify and communicate data-driven insights to both technical and non-technical stakeholders
    • Managing and communicating data warehouse plans to internal clients
    • Ability to thrive in an unstructured environment, working autonomously to find opportunities to deliver business impact
    • Track record of continuous improvement, both for yourself and your team.  Proactively seeks and provides constructive feedback.
    • Ability to analyze data to identify deliverables, gaps, and inconsistencies

    BONUS POINTS

    • Experience with being a hands-on manager or tech lead, especially in a remote/distributed setting
    • Experience with AWS tools and ecosystem, especially those related to data and analytics
    • Experience with building data pipelines in a service-oriented and CI/CD environment
    • Previous experience at a fast-growing start-up or internal team
    • Hands-on experience with building full-stack (front-end/back-end) web applications in a modern tech stack
    • Experience with test automation tooling/techniques (specifically as they relate to data infrastructure components)
    • Experience with Customer Data Platforms such as mParticle and Segment

     

    BENEFITS

    • Competitive salary 
    • Stock options
    • Medical, dental, and vision insurance
    • Generous vacation policy; paid holidays
    • Get in on the ground floor and shape the strategic direction and culture of a growing company
    • Ongoing training and growth opportunities
    • Work with top-notch team where your voice will always be heard
    • Upbeat work environment at a company with a huge vision

     

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