Senior Data Engineer – Preferably for Women

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

📋 Description

• Integrate and automate new data sources into the data lake and data warehouse, ensuring that data is accessible and usable.

• Develop, maintain, and optimize data ingestion pipelines and processes with a focus on quality, performance, sustainability, and cost-effectiveness.

• Create highly complex integrations between source systems and databases.

• Establish and manage data marts, schemas, and tables across the raw, trusted, and refined layers.

• Ensure data quality, consistency, security, and governance while supporting data documentation and cataloging efforts.

• Translate business rules and requirements into data specifications and technical solutions.

• Construct advanced tables and dashboards to facilitate analysis and generate insights.

• Collaborate with analysts, data scientists, software engineers, and business teams.

• Support initiatives in advanced analytics, predictive modeling, and machine learning.

• Act as a technical reference, providing mentoring, training, and onboarding assistance for new team members.

• Share expertise and best practices, contributing to the technical growth of the team and the advancement of the data strategy.

• Identify and implement enhancements to processes, tools, and methodologies to achieve higher efficiency, quality, and scalability.

⛳️ Requirements

• Proficiency in SQL and Python for optimizing complex data-processing workflows.

• Strong understanding of data modeling techniques for creating efficient data schemas.

• Extensive experience with data virtualization tools like Denodo for federated data access.

• Competence in Teradata for managing data warehouses and conducting large-scale analytics.

• Advanced expertise in Databricks for building and managing big data pipelines.

• Leadership abilities to spearhead initiatives and mentor team members.

• Strategic mindset to design scalable and efficient data solutions.

• Excellent communication and stakeholder management skills across all organizational levels.

• Capability to navigate complex technical challenges and provide effective solutions.

• Resilience and adaptability to succeed in a dynamic, fast-paced environment.

• Strong analytical reasoning and advanced problem-solving capabilities.

• Knowledge of regulatory compliance (LGPD/GDPR).

• In-depth understanding of modern data architectures.

🏝️ Benefits

• 14th and 15th fixed salaries.

• Profit-sharing based on seniority.

• Health and dental insurance with no copayments.

• Well-being programs through Wellhub (formerly Gympass), including nutrition, psychology, workplace wellness, massage, a running group, and access to a local gym.

• Food and meal allowances with flexible distribution percentages between food and meal cards, also with no copayments.

• Extended maternity and paternity leave.

• Daycare or nanny support for children up to 6 years and 11 months old.

• Assistance for employees with children with disabilities, without age restrictions.

• Life insurance coverage.

• Private pension plan with employer contributions of up to 8% of salary.

• Access to a training platform — Sicredi Aprende — offering a variety of courses.

• 40-hour workweek utilizing a time-banking system.

• Remote-work allowance (excluding positions that are 100% on-site).