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

• Collaborate with Product Management, Engineering, and Analytics teams to understand data needs, solve problems, and identify trends and opportunities.
• Design, build and launch new data extraction, transformation, and loading processes in production.
• Manage data warehouse plans for a group of products
• Build data expertise and own data quality for allocated areas of ownership.
• Support existing processes running in production and optimize the operational aspects of our data infrastructure, including testing, deployment, and monitoring
• Collaborate with application engineering teams to develop end-to-end features that will feed into the data pipeline

QUALIFICATIONS

• 2 years or more of data engineering or related experience
• Expertise with SQL and relational databases (i.e. MySQL, Postgres)
• Experience with custom ETL design, implementation and maintenance, including schema design and dimensional data modeling.
• Significant experience with ETL and workflow management engines (i.e. Airflow, AWS Step Functions, AWS Glue, dbt).
• Experience with programming languages such as Java and Python
• Experience working with cloud or on-prem analytics platforms (i.e., AWS Redshift, Snowflake, or similar).
• Ability to analyze data to identify deliverables, gaps, and inconsistencies.
• 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.

BONUS POINTS

• Experience with AWS tools and ecosystem, especially those related to data and analytics
• Experience with Kafka, Kinesis, or similar systems
• Experience with BI/Reporting tools such as Metabase, Looker, and Tableau
• 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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