Analytics Engineer

Gopuff's engineering team is building solutions to dramatically change the way people purchase their daily goods. We provide the modern-day solution to meet customer's immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button.

As an Analytics Engineer at Gopuff you'll build and maintain the bridge between our data and the rest of our organization. You'll help ensure the integrity, reliability, and usability of productionalized data for all teams as they make important data-driven decisions. You will sit within the Analytics Engineering team within our Engineering organization. You'll make a huge impact as the future success of Gopuff will largely depend on our ability to implement and scale operationally.

Our stack consists of stitch and multiple data engineering pipelines for extracting and loading, snowflake, dbt, and looker. If you have expertise in these tools, or an appetite to learn more about them—let's chat!

Responsibilities

Be our go-to data expert and understand our data warehouse and data processing layers.
Partner with data analytics, product managers, engineers, and business stakeholders to obtain a holistic understanding of each team's data needs and translate into infrastructure and tooling that enables a data-driven culture.
Oversee data integrity, availability, transformation logic, and efficient data access to support our growing needs across the organization.
Identify gaps in existing data, create data product specs and work with Engineering teams to implement data tracking.
Incorporate automation wherever possible to improve data pipelines and analyses
Creating testing and monitoring systems to ensure data quality - and build documentation to ensure data accessibility to all stakeholders

Qualifications

Bachelors in Engineering, Business, Information Systems or other quantitative discipline
2+ years of experience building data models that integrate complex and different data sources, using tools such as dbt
Expert in SQL and database table design - able to write structured and efficient queries on large datasets
Experience and strong knowledge in data warehousing concepts, big data technologies, and analytics platforms.
Experience working in git workflows
Excellent communication skills to work with partners to translate business needs and ideas into tractable work items
Top-notch organizational skills and ability to manage multiple projects in a fast-paced environment
Move fast, be a team player, always learn, and give back
Experience in data warehousing concepts, big data technologies, and analytics platforms.
Redshift and/or Snowflake experience
Experience with ETL/ELT tools (bonus points for dbt!)

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