Engenheira de Dados Senior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and enhance our Lakehouse on AWS utilizing Delta Lake, establishing standards for modeling, partitioning, and layered organization (bronze/silver/gold).

• Build and maintain end-to-end batch pipelines using Spark/Databricks and DBT, orchestrated through Airflow.

• Operate streaming pipelines with Kafka, ensuring real-time data availability for the product.

• Integrate the Lakehouse with AI and analytics platforms, ensuring optimized access for model training and inference.

• Contribute to the construction and maintenance of the data platform by mapping dependencies and synchronizing roadmaps.

• Optimize storage and processing costs and performance in cloud environments.

⛳️ Requirements

• Proven experience in data engineering or data architecture, focusing on Data Lakes and Lakehouses.

• Proficiency in cloud data tools and services (AWS S3, Glue, Athena, Lake Formation, Azure Data Lake, GCP Storage/BigQuery).

• Strong knowledge of advanced SQL and programming in Python (preferred) for data automation and transformation.

• Experience with distributed processing (Apache Spark, Databricks, Flink, or similar).

• Understanding of data governance, including metadata management, security, and versioning.

• End-to-end responsibility for production pipelines (reliability, SLA, observability).

• Clear communication, autonomy, and the ability to drive technical decisions with PMs, engineers, and leadership.

• Certifications in cloud data engineering or architecture (AWS, Azure, GCP) are a plus.

🏝️ Benefits

• Meal voucher/food allowance.

• Health and dental insurance.

• Home Office assistance.

• Profit sharing.

• Setup Kit voucher.

• Life insurance.

• Birthday Day Off.

• Health and wellness promotion program.

• Partnerships and discounts.