Senior Analytics Engineer, Data Platform at Deel

Remote - Brasil

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Senior Analytics Engineer position within the Data Platform team at Deel. The role focuses on improving data quality, pipeline performance, and cost management across the data stack, with responsibilities including designing RBAC on Snowflake, enforcing data governance, building data models, optimizing SQL queries, enhancing observability, and developing CI/CD systems, while collaborating with cross-functional teams and mentoring peers.

Requirements

Experience

  • 5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets
  • Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc

Skills

  • Proficient in RBAC principles and implementation details in modern data warehouse
  • Proficiency in a data engineering tech stack
  • Deep DBT core experience
  • Experience with Snowflake
  • Experience with workflow management frameworks
  • Proficient in Python and/or other data centric language
  • Experience building highly observable data systems
  • Familiar with dimensional data modeling techniques
  • Strong documentation and data debugging skills
  • Comfortable working in a rapidly changing environment

Responsibilities

  • Design and implement RBAC on Snowflake to meet all business and compliance requirements.
  • Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations.
  • 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.
  • Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards.

Technologies

SnowflakeDBT CoreAirflowLuigiDagsterPythonSQL

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