Senior Data Engineer
About Freestar
- Run points on whole projects by recommending, prototype, build and debug data infrastructures on Google Cloud Platform (GCP) with other principal and senior engineers within the team, and to mentor less experienced Data Engineers.
- Demonstrate repeated delivery of project architectures and critical components that other engineers demur to you for lack of expertise.
- Participate in early-stage conversation with our product development team about product / features.
- Improve decision quality across the company by ensuring metrics are trustworthy, discoverable, and easily consumable.
- Data warehouse modernization: building complete data warehouse solutions, including technical architectures, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines, and reporting/analytic tools. Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive, Kafka, PubSub).
- 4+ years of experience designing and implementing large-scale, complex, data-driven applications on the cloud, preferably on Google Cloud / AWS.
- 4+ years of hands-on experience using SQL to perform complex data manipulation
- 3+ years of experience modeling data warehouses
- 3+ years of experience building data pipelines, CI/CD pipelines, and fit for purpose data stores
- Data migration: migrating data stores to reliable and scalable cloud-based stores, including strategies for near zero-downtime.
- Experience writing software in one or more languages such as Python, Java, Scala, etc.
- Experience with systems monitoring/alerting, capacity planning and performance tuning
- Enjoy analyzing and organizing rapidly-changing business data to support product and business solutions
- Nice to have Qualifications: *
- Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, BigQuery, Dataprep, Composer, etc)
- Experience with IoT architectures and building real-time data streaming pipelines
- Experience operationalizing machine learning models on large datasets
- Demonstrated leadership and self-direction -- a willingness to teach others and learn new techniques
- Demonstrated skills in selecting the right statistical tools given a data analysis problem
- Comfortable interacting across multiple teams and management levels within the organization
- Previous background in the ad tech or media landscape (linear, digital, or social) is a plus
- Full-Time, Salaried Position
- Working remotely
- Generous Medical, Dental, and Vision benefits
- 401K with company match, vested immediately
- The opportunity to be part of something high value, high impact, and high growth...Who doesn't love that!
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
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