HERE TO DARE
Senior Data Engineer – Data Quality Specialist
Location
Brazil
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer – Data Quality Specialist
BIP Brasil
• Map reports, information, databases and data flows involved in regulatory processes. • Gather primary sources, auxiliary datasets, support tables, integrations, transformations, volumes and technical dependencies. • Identify manual processes, parallel spreadsheets, macros, local controls and non-industrialized steps. • Support the creation of a data and report inventory, including sources, owners, flows, criticality and recurrence. • Structure and maintain governance artifacts such as a data catalog, data dictionary, business glossary and data lineage. • Design and document technical and functional lineage, from data origin to final consumption/regulatory reporting. • Define and implement data quality metrics for dimensions such as accuracy, completeness, consistency, integrity, traceability, reliability, timeliness, clarity and accessibility. • Support the design of quality controls, reconciliations, pre- and post-processing validations and audit trails. • Build or specify scorecards, indicators and executive dashboards for monitoring information quality. • Support the identification of gaps in data, processes, controls, documentation, architecture and governance. • Contribute to remediation action plans to address gaps, prioritize reports and evolve quality governance. • Collaborate with business, technology, architecture, risk, accounting, compliance, internal controls and audit teams. • Support the definition of tactical and target architecture for governance, data quality and monitoring. • Produce clear, traceable and auditable technical and functional documentation.
Job Requirements
- Solid experience as a Data Engineer, preferably in regulated environments or with critical data.
- Practical knowledge of Data Quality and Data Governance.
- Experience mapping data flows, sources, transformations, integrations and system dependencies.
- Experience creating or maintaining a data catalog, data dictionary, business glossary and data lineage.
- Knowledge of data quality metrics and dimensions such as completeness, accuracy, consistency, validity, uniqueness, timeliness, traceability and integrity.
- Ability to design controls, validations, reconciliations and quality indicators.
- Advanced SQL skills.
- Knowledge of Python, PySpark or equivalent data processing tools.
- Experience with ETL/ELT pipelines, data integration and data modeling.
- Familiarity with modern data environments such as data lake, data warehouse, lakehouse or cloud platforms.
- Ability to produce technical documentation, evidence, flows and data specifications.
- Good communication skills to interface 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
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