Shipt is a membership-based marketplace that helps people get the things they need. Our friendly shoppers handpick fresh groceries and household essentials and deliver them to members in as soon as one hour.

We are currently looking for a Data Analyst to join the Data Warehouse team. The Data Warehouse team at Shipt is core to the organizational goal of moving to multiple, independent micro-services and increasing our feature deployment velocity.

The Data Warehouse team is responsible for building a managed data lake and from it an enterprise data warehouse.  The data lake will serve as a raw, unprocessed store of business events and entity CRUD activity. The intent behind the enterprise data warehouse is to create a store of cleansed, pre-related data from which a business user or analyst should rapidly be able to create actionable information.  On the other hand, the data lake exists for two purposes:

• a raw data store for utilization by data science team members and other data experts

• a source for processing and augmenting the enterprise data warehouse, over time.

As a member of the Data Warehouse team, you will be developing, maintaining and supporting:

• standard data catalog
• standard set of data views representing the state of the data warehouse
• set of example analysis for users to begin learning how to consume the enterprise data warehouse.

WHAT YOU'LL GAIN

You'll join a team of talented individuals who will provide you with hands-on mentorship on topics ranging from design to surfacing operational key results to creating reusable analytical blocks.

YOUR RESPONSIBILITIES

• Develop Data Catalog - working within the Data Warehouse team and with other members of the Engineering organizations to build services that catalog, describe, document intended use and finally surface data as actionable information.
• Ideate and Collaborate on Solutions- be a thought leader within the Tech organization to build new and improved data tools and services that can scale with the company
• Invest in the Process - execute and continuously improve our development process

REQUIREMENTS

• 4+ years in Data Engineering and/or Engineering
• Experience working in a web-scale data environment (for example, millions to billions of messages per day)  
• Experience working in an environment with a bias towards action
• Strong development skills especially with tools such as Tableau, Looker, ChartIO and their relations.
• An understanding of technologies and design patterns in fields such as: micro services, streaming / queuing systems, SQL and key-value stores, and high-performance solutions (vectorization, task and data parallelism)
• Expertise with Presto, Snowflake and Redshift (or their relations) is a major plus
• Expertise with AWS tech and deployments is a major plus (we currently use Jenkins, Docker, AWS Lambda, and AWS Batch)
• A Bachelor's Degree in CS, Information Systems, a related field or equivalent work experience

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.