Senior Data Engineer



The candidate will interact daily with the rest of the team (like they are any other member of the team). They will be expected to be senior enough that they can own projects, work with stakeholders and meet deadlines.


The candidate will work on migration from Redshift to Snowflake, feature engineering for Data Science team and data pipelines related to personalisation of email, push and SMS


Not just query speed improvements, but helping to implement and redesign our current data pipelines and data lake -> data warehouse -> data mart tables so heavy on ETL


Daily standup around 11AM PST, weekly staff meeting, bi-weekly grooming, bi-weekly spring planning, a few other meetings with stakeholders per week


Main Skills:



  • ETL

  • Python

  • Pandas

  • Apache Airflow

  • Spark

  • Snowflake


Great to Haves:



  • Elasticsearch and Kafka

  • AWS (ec2, Redshift, EMR, S3, DMS)


We are looking for an engineer skilled in developing for analytics, BI, data vis platforms


Primary Skills required: Looker engineer skilled in data vis, snowflake, data engineering, data architectures, reporting/analytics and dashboard building, data warehousing, SQL.


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