Senior Data Engineer

Description

Job Summary: A professional to design and maintain data governance, data modeling, data pipelines, and data security, ensuring data quality and optimization. Key Highlights: 1. Designing and maintaining data governance initiatives 2. Advanced SQL proficiency and experience with Google BigQuery 3. Collaborating with cross-functional teams and focusing on problem-solving **Your day-to-day responsibilities will include:** \- Designing and maintaining data governance initiatives (developing and implementing policies and ensuring adherence to governance practices across projects). \- Designing moderately complex data models and architectures, and collaborating with the team to develop efficient data architectures. \- Building, maintaining, and proposing robust data pipelines and applications (developing and maintaining complex data pipelines and implementing solutions to improve efficiency). \- Ensuring data quality and availability (implementing quality practices and conducting regular audits, resolving quality issues, and guaranteeing high availability). \- Applying best practices for data security (executing and monitoring data security practices and conducting security audits while recommending improvements). \- Creating and maintaining documentation for all activities (documenting solutions and processes in detail and keeping documentation up-to-date and accessible to the team). \- Monitoring the company's adopted data solutions to identify performance and cost optimizations (analyzing data solution performance, implementing optimizations, and proposing solutions to reduce costs and improve performance). **What We Require:** * Bachelor’s degree in Computer Science, Data Science, Production Engineering, or related fields; * Solid experience with Google BigQuery (queries, performance, security, and cost optimization). * Advanced SQL expertise (Window Functions, UDFs, STRUCTs, and ARRAYs). * Hands-on experience with Cloud Storage (Data Lake, staging, and access control). * Experience orchestrating data workflows using Cloud Composer (Airflow). * Knowledge of batch and streaming data processing (Cloud Dataflow / Pub/Sub). * Proficiency in Python (ETL/ELT pipelines, Pandas, automation, and GCP APIs). * Experience with transformation and versioning tools (Dataform/dbt, Git, CI/CD). * Strong foundation in data modeling (Star/Snowflake Schema). * Excellent communication skills, ability to collaborate with cross-functional teams, and focus on problem-solving and cost optimization. Preferred Qualifications: Familiarity with BigQuery ML and Vertex AI. Experience with Feature Stores, Cloud Logging/Monitoring, security, and compliance. **What’s in it for you?** Work model: Remote; Flexible working hours; TotalPass: gym membership program and mental health care; Education Assistance; Birthday Leave; Health Insurance; Dental Insurance; Life Insurance; VR Flex Card; Childcare Assistance (for children up to 60 months old); Employment Type: Full-time, CLT permanent contract; Compensation: R$8\.000,00 \- R$12\.000,00 per month; Benefits: * Health insurance * Dental insurance * Childcare assistance * Education assistance * Life insurance * Meal allowance * Food allowance