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 personalization 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
- Apache Airflow
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
Client company: leading global provider of High Speed Internet Access (HSIA) management and support solutions, guest management software and technical support services – “we build and optimize wicked good WiFi networks for businesses”
Primary Skills required: Looker engineer skilled in data vis, snowflake, data engineering, data architectures, reporting/analytics and dashboard building, data warehousing, SQL
Apply Via https://andela.com/join-andela?utm