What You’ll Do
- Use modern tooling to build robust, extensible, and performant data platform
- Build thoughtful and reliable data acquisition and integration solutions to meet business requirements and reporting needs.
- Deliver best in class application reporting solutions for customers
- Troubleshoot, improve and scale existing data pipelines, models and solutions
- Build upon data engineering's CI/CD deployments, and infrastructure-as-code for provisioning AWS services
Required Qualifications, Skills, & Abilities
- 3+ years of work experience as a data engineer/dev ops/software engineering, coding in Python.
- 1+ years experience deploying data processing infrastructure as Code into AWS / cloud environment.
- 1+ years experience streaming real time data into a data lake / lake house architecture
- Advanced understanding of how at least one big data processing technology works under the hood (e.g. Spark / Hadoop / HDFS / Redshift / BigQuery / Snowflake)
- Demonstrated ability in writing and analyzing highly complex SQL queries to optimize performance.
- Excellent analytical, problem solving, and troubleshooting skills to manage complex process and technology issues without much guidance
Preferred Experience
- 2+ years experience building streaming data pipelines in a cloud based data platform
- 1+ deploying Infrastructure as Code within AWS CDK
- 1+ deploying microservices and/or APIs within cloud environment
- Experience with building ETL pipelines within Airflow / Python.
- Hubspot / Salesforce / Mixpanel (Clickstream data processing)
- Serverless / event driven architecture (Databricks / Glue / Lambda)
- CubeJS, or relevant customer facing embedded analytics backend
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