Data Engineer

We are looking for a Data Engineer. You will be responsible for developing scalable, robust, and high-performance data pipelines in an e-commerce environment.

What you will do every day

- Design and implement data pipelines utilizing the AWS platform
- Design schemas for efficient storage and query execution
- Enhance data models by developing integrations with business partners
- Build the infrastructure required for the aggregation of data from a variety of sources
- Create analytics tools that utilize the data pipeline to provide insights into marketing and site performance, operational efficiency, and other key business metrics
- Work with data scientists, analysts, engineers, executives, and product managers to deliver functionality that addresses analytical and operational needs
- Participate in Agile Scrum planning, daily stand-ups, and sprint retrospectives What you need to bring to the table

- 2 years of data engineering experience within an AWS environment
- Proficiency in SQL with multiple dialects incl Postgres, MySQL, Presto, or SQL Server
- Expertise in Python for developing and maintaining data pipeline code
- Familiarity with ETL software (i.e. Talend, CloverETL, Pentaho, Informatica, or Airflow)
- Competence with star schema/snowflake schema design
- Strong communication skills and ability to work directly with data analytics teams
- Familiarity with BI software (preferably Tableau or Metabase) Bonus

- Experience with Apache Spark and PySpark library
- Experience with Hadoop ecosystem