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 remains accessible and usable.

• Develop, maintain, and optimize data ingestion pipelines and processes, emphasizing quality, performance, sustainability, and cost-effectiveness.

• Create integrations for complex data sources 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.

• Convert business requirements and needs into data specifications and technical solutions.

• Construct advanced tables and dashboards to facilitate analysis and insight generation.

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

• Support advanced analytics, predictive modeling, and machine learning projects.

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

• Share insights and best practices, contributing to the team's technical development and data strategy.

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

⛳️ Requirements

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

• Expertise in data modeling techniques for creating efficient data schemas.

• Significant experience with data virtualization tools such as Denodo for federated data access.

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

• Advanced knowledge of Databricks for constructing and overseeing big data pipelines.

• Leadership abilities to drive initiatives and mentor team members.

• Strategic mindset to design scalable and efficient data solutions.

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

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

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

• Excellent analytical thinking and advanced problem-solving capabilities.

• Knowledge of regulatory compliance (LGPD/GDPR).

• Advanced understanding of modern data architectures.

🏝️ Benefits

• 14th and 15th fixed salary payments

• Profit-sharing plan (based on seniority)

• Health and dental insurance with no copayments

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

• Food and meal vouchers—with flexible allocation percentages between the food and meal voucher cards and no copayments

• Extended maternity and paternity leave

• Childcare or nanny assistance for children up to 6 years and 11 months old

• Assistance for children with disabilities, with no age limit

• Life insurance

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

• Training platform—Sicredi Aprende—with a variety of courses

• 40-hour workweek using a time-banking system

• Remote-work allowance (except for positions that are 100% on-site)