Data Engineer (Spark / PySpark)

We are looking for a talented Senior Data Engineer to join our team!You will be working with one of our biggest clients on products with a high impact on their revenue.

Our client is a world-renowned Global Management Consulting firm expanding its nearshore engineering capacity in Brazil to support high-stakes digital transformations for Fortune 500 companies.

Responsibilities:Design, develop, and optimize distributed data systems and complex data pipelines.

Build and maintain scalable ETL workflows across multiple relational and NoSQL systems.

Lead analytics modules and communicate technical outcomes clearly to senior stakeholders.

Partner closely with consulting teams to define technical approaches and delivery outcomes.

Deliver production-ready solutions, navigating from initial prototypes to enterprise-grade systems.

Required Qualifications:Deep knowledge of Python and SQL with proven delivery in commercial or consulting environments.

Hands-on experience with distributed systems using Spark, PySpark, or Hadoop.

Strong knowledge of Cloud platforms (AWS, Azure, or GCP) and relational/NoSQL databases.

Fluent English and Portuguese communication skills to interact with global stakeholders.

Nice to have skills: Experience with orchestration tools like Airflow, Prefect, or Dagster.

Knowledge of Snowflake or Star schema data modeling.

Familiarity with Docker, Kubernetes, or streaming frameworks like Kafka.