Senior Analytics Engineer, Data Platform
Deel
Engineering & Technology
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.Â
Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations.Â
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:Â
Proficiency in a data engineering tech stack:Â
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
Important Safety Tips
- Do not make any payment without confirming with the Jobberman Customer Support Team.
- If you think this advert is not genuine, please report it via the Report Job link below.