tapouts is dedicated to nurturing the emotional and psychological well-being of children. They are looking for a Senior Data Engineer to design, build, and maintain scalable data infrastructure that supports analytics and business operations.

Responsibilities:

Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming)
Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making
Develop and optimize complex SQL queries, stored procedures, and data models
Write clean, production-grade Python code for data ingestion, transformation, and automation
Build and manage cloud-native data infrastructure on AWS, GCP, or Azure
Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)
Support ML workflows including feature engineering, model training pipelines, and MLOps integration
Ensure data quality, governance, and lineage tracking across all data assets
Collaborate with data scientists and analysts to deliver trusted, well-documented datasets
Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency
Contribute to the development of internal data platform tools and frameworks
Apply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD)

Requirements:

5+ years of experience in data engineering or a related field
Advanced English
Strong proficiency in SQL — writing complex queries, optimizing performance, and data modeling
Strong proficiency in Python — building ETL/ELT pipelines, scripting, and automation
Experience with cloud platforms: AWS, GCP, or Azure
Hands-on experience with data orchestration tools (Apache Airflow, Prefect, or similar)
Experience with big data frameworks (Apache Spark, Kafka, Flink, or similar)
Familiarity with data warehousing solutions (Snowflake, BigQuery, Redshift, or similar)
Strong understanding of data modeling, schema design, and data architecture principles
Experience with dbt (data build tool) and the modern data stack
Familiarity with streaming and event-driven architectures
Knowledge of MLOps and AI pipeline support
Experience with data mesh or data platform engineering
Familiarity with data governance frameworks and tools (data lineage, data cataloging)

tapouts

Open Positions (1)

Engineering

Senior Data Engineer