Opportunity We are looking for a Senior Data Engineer to join our team. The best candidates will hit the ground running and contribute to our data team as we develop and maintain necessary data automation, reports, ETL/ELT, and quality controls using leading-edge cloud technologies. You will have a deep knowledge and understanding of all stages in the software development life cycle. The ability to self-start, mentor and manage less experienced data engineers, desire to learn modern technology, manage multiple priorities, and effective communication are all in your wheelhouse!
What you'll do: You will be working alongside other engineers and data scientists to collaborate on various features of our eCommerce platform within an Agile environment. Overall, you will be working on a team that is driving innovation in a greenfield marketplace to create and maintain our best-in-class global software platform!
Write high-level, well-documented code in Scala, Python and SQL Build data pipelines that range from simple to complex, using technologies like Apache Airflow, EMR, AWS Lambda, Glue, Step Functions, EventBridge, Snowflake, Pyspark and other ETL tools. Work with a mix of structured and unstructured data across cloud-based batch and streaming architectures Engage directly with technical analysts, project managers, and other technical teams to help build concise requirements and ensure timely completion of projects Work with Git, CI/CD, and version control to maintain code and documentation Design and vet solutions for technical problems, and solicit team feedback during the design process Mentor, manage, train, and participate in paired programming in a senior capacity Who you are: Must have experience with version control, GitHub, and software development life cycle 5 years' experience developing with Scala, Java or Python 5 years' experience with SQL and data modeling Demonstrated experience interacting with RESTful APIs Experience with data pipelines / batch automation in at least one major technology (e.g., Apache Airflow) Experience with streaming technologies (Kafka, kinesis, etc.) Experience with AWS and their technologies (EC2, S3, Glue, Athena, lambda, eventbridge, step functions, sqs) Experience working in an agile development environment Familiarity with Jira and Confluence
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