Senior Data Engineer – Data Quality Specialist

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

📋 Description

• Create mappings for reports, information, databases, and data flows related to regulatory processes.

• Collect primary data sources, supplementary datasets, support tables, integrations, transformations, volumes, and technical dependencies.

• Recognize manual processes, parallel spreadsheets, macros, local controls, and non-industrialized steps.

• Assist in developing a comprehensive inventory of data and reports, detailing sources, owners, flows, criticality, and frequency.

• Organize and sustain governance artifacts, including a data catalog, data dictionary, business glossary, and data lineage.

• Design and document both technical and functional lineage, tracing data from its origin to final consumption and regulatory reporting.

• Establish and execute data quality metrics across dimensions such as accuracy, completeness, consistency, integrity, traceability, reliability, timeliness, clarity, and accessibility.

• Contribute to the design of quality controls, reconciliations, validations before and after processing, and audit trails.

• Develop or specify scorecards, indicators, and executive dashboards to monitor information quality.

• Aid in identifying deficiencies in data, processes, controls, documentation, architecture, and governance.

• Participate in creating remediation action plans to address identified gaps, prioritize reports, and enhance quality governance.

• Collaborate with teams across business, technology, architecture, risk, accounting, compliance, internal controls, and auditing.

• Assist in defining both tactical and target architectures for governance, data quality, and monitoring.

• Generate clear, traceable, and auditable technical and functional documentation.

⛳️ Requirements

• Proven experience as a Data Engineer, ideally in regulated environments or with critical data.

• Practical expertise in Data Quality and Data Governance.

• Demonstrated experience in mapping data flows, sources, transformations, integrations, and system dependencies.

• Background in creating or maintaining a data catalog, data dictionary, business glossary, and data lineage.

• Familiarity with data quality metrics and dimensions such as completeness, accuracy, consistency, validity, uniqueness, timeliness, traceability, and integrity.

• Capability to design controls, validations, reconciliations, and quality indicators.

• Advanced skills in SQL.

• Knowledge of Python, PySpark, or similar data processing tools.

• Experience with ETL/ELT pipelines, data integration, and data modeling.

• Understanding of modern data environments, including data lakes, data warehouses, lakehouses, or cloud platforms.

• Ability to produce technical documentation, evidence, data flows, and specifications.

• Strong communication skills to engage with technical teams and business stakeholders.

🏝️ Benefits

• All Points (points program for airfare and accommodation)

• Health insurance

• Dental insurance

• Life insurance

• Pet benefit

• Mobility (including fuel option and ride-hailing services such as Uber and 99)

• Flexible reimbursement (glasses, vaccines, education, concerts, and others)

• Meal voucher and/or food voucher

• Birthday day off

• Gympass

• Financial consulting and facilitated loans

• Alelo Club with various discounts at stores and pharmacies

• 180-day maternity leave

• 30-day paternity leave

• Childcare allowance for the baby's first year

• Transportation allowance according to project or area requirements

• Annual bonus program

• Commission for referring new clients