Data Engineer At Andela


Data Engineer At Andela 1 Position

Nairobi, Kenya

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IT & Telecoms
Posted 6 days ago

Job Description

Andela provides companies with access to the top 1% of global tech talent. We identify high-potential developers on the African continent, shape them into world-class technical leaders, and pair them with companies as full-time, distributed team members. Accelerate your product roadmap while minimizing time spent interviewing, on-boarding, and training new hires. Andela is backed by investors including Chan Zuckerberg Initiative, GV, Spark Capital, Omidyar Network, Susa Ventures, Steve Case, Founder Collective, Learn Capital and more. Learn more about us at Specialties

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

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

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

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Nairobi, Kenya

300 - 10000 people

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