n your first year:
- Help define scalable workflows and setup data infrastructure, processes and documentation that will enable data scientists, and analysts to develop deep analyses
- Create data products and processes to enable self-service analytics, predictive analytics, content recommendation and personalization in our core product
What you bring to the table
- 5+ years of data engineering experience of relevant industry experience
- Expertise working with Data Warehousing platforms (AWS RedShift or Snowflake preferred) and data lake / lakehouse architectures
- Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred)
- Demonstrated ability to (creatively) solve complex architectural problems, think about tradeoffs and systems design
- Effective communication skills and ability to translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
- Expertise with SQL and programming languages commonly used in data platforms (Python, Spark, etc)
- Experience with data pipeline orchestration (e.g., Airflow) and data pipeline integrations (e.g. Airbyte, Stitch)