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Opportunities

Data Engineer (Remote) at Shipium
Remote

About Shipium

Shipium helps eCommerce companies offer free and fast shipping, then keep their promise with supply chain technology.

We do this by providing world-class APIs and web-based applications that enable our customers to make use of modern supply chain methods without having to have a large team of developers.

Founded in 2019 by supply chain technology experts from Amazon and Zulily, the company is on a mission to help every eCommerce company provide its customers a great delivery experience while simultaneously reducing their costs to fulfill orders.

Job Title: Data Engineer

 

Description

Are you interested in building the next-generation services that will solve complex business problems in the eCommerce fulfillment and supply chain space? We are disrupting the space to provide easy access, fast, economical shipping, and delivery experiences to companies big and small.

Shipium is looking for a talented Data Engineer, to design and build a new product from the ground up. We are looking for strong experience with data transformation on datasets using open technologies like Spark.  

Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and building quick prototypes or proofs of concepts. 

You will be responsible for designing and implementing scalable extract, transform, and load (ETL) processes to support the rapidly growing and dynamic business processes requiring high-quality data. 

You will drive building a data platform for an exciting new space that is just getting started. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact.

What You Will Do

  • Responsible for designing and implementing scalable extract, transform, and load (ETL) processes to support the rapidly growing and dynamic business processes requiring high-quality data.
  • Take full ownership of the technical architecture, design, and implementation of our data platform and related tools.
  • Establish collaboration with stakeholders and other engineering leaders to define and develop our data platform roadmap.
  • Act as a subject matter expert to leadership for technical guidance around solution design and best practices.

Experience 

  • 3+ years of strong experience with data transformation on datasets using open technologies like Spark, SQL, DataBricks, DBT, Kedro, pandas, and Jupyter Notebook.
  • 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans.
  • Advanced Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, logs at scale)
  • Strong knowledge of Python, and UNIX Shell Scripting.
  • Knowledge of Spark (Batch/Streaming), SparkSQL and PySpark
  • Experience working with various stakeholders to master the data domain and manipulate data to fit the needs of the business.

 

Shipium is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Shipium makes hiring decisions based solely on qualifications, merit, and business needs at the time.