Responsibilities:
- Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
- Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more.
- Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
- Work with stakeholders and translate their needs and expectations into action items and deliverables.
- Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines.
- Contribute meaningful insights and feedback to our team processes.
- Participate in our on-call rotation.
- Perform other job-related duties as assigned.
What We're Looking For:
- Proficient in Python, SQL, DevOps, and databases.
- 3+ years of professional/industry experience.
- Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.
- Strong communication skills (written/verbal).Experience modeling data sets for different types of sources and business processes.
- Passionate about designing elegant data infrastructure, tooling, and pipelines.
- Familiar with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery), and CI/CD technologies (CircleCI).
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