Sr. Analytics Engineer

United States

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Gopuff

Gopuff delivers thousands of everyday items, at your door in 30 minutes. Get everyday value in your pocket. Instantly.

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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 a Senior 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!#LI-Remote

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!)
BenefitsWe want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:-Gopuff employee discount-Career growth opportunities-Internal rewards programs-Annual performance appraisal and bonus 
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

Tags: Big Data Data Analytics Data pipelines Data Warehousing ELT Engineering ETL Git Looker Pipelines Redshift Snowflake SQL Testing

Perks/benefits: Health care Insurance Salary bonus

Region: North America
Country: United States
Job stats:  2  1  0

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