About the Role
We’re partnering with a leading
global commerce technology organization
to expand their
Data Engineering & Analytics
team. This is an exciting opportunity for senior-level Data Engineers who are passionate about building modern data solutions, optimizing data pipelines, and driving impactful data-driven decisions within a global enterprise environment.
Key Responsibilities Design, develop, and maintain
data management systems, pipelines, and quality assurance frameworks . Establish and enforce
data standards, database guidelines, and governance protocols . Develop and implement
conceptual and logical database designs , including capacity planning, data loading, and maintenance strategies. Evaluate, install, and optimize database management systems and cloud data platforms. Collaborate with cross-functional teams to
translate business requirements into scalable data models and efficient pipelines . Contribute to
data modeling and relational database architecture , ensuring data integrity and accessibility. Support the development of
UI prototypes and reporting tools
in collaboration with analytics and business stakeholders.
Requirements Strong proficiency in Python, SQL, and Spark
for data processing and ETL development. Hands-on experience building and maintaining
data pipelines
in modern cloud environments. Proven
data modeling
expertise and familiarity with relational and dimensional models. Experience with
modern data platforms
such as
Databricks ,
Snowflake , or similar. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
Senior Data Engineer • Conselheiro Lafaiete, Brasil