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Senior Analytics Engineer, Data Platform


Engineering & Technology

IT & Telecoms GHS Confidential
4 weeks ago

Job Summary

As a Senior Analytics Engineer on the Data Platform team, you will spend significant time crafting the future of our DBT monorepo and ensuring it can scale with 30+ Analytics Engineers and 100+ data professionals embedded in business units across Deel.

  • Minimum Qualification: Degree
  • Experience Level: Senior level
  • Experience Length: 5 years

Job Description/Requirements

As a Senior Analytics Engineer on our Data Platform team you will:

  • Design and implement scalable and efficient data models for our Core data mart.

  • Develop and optimize SQL queries for analytical and reporting purposes.

  • Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s).

  • Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data.

  • Build a world-class development environment and CI/CD system that will allow our systems to scale for years to come

  • Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data platform needs. 

  • Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations. 

  • Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards

What you’ll need to be successful in this role: 

  • Proficiency in a data engineering tech stack: 

    • 5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets

    • Deep DBT core experience required (experience building on top of dbt core libraries would be awesome)

    • Experience with Snowflake desired (or other cloud database platform)

    • Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc

  • You are proficient in Python and/or another data centric language

  • You have experience building highly observable data systems

  • You are familiar with dimensional data modeling techniques and best practices

  • You have an eye for detail, good data intuition, and a passion for data quality

  • You appreciate the importance of great documentation and data debugging skills

  • You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks

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