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BIP Brasil

HERE TO DARE

Senior Data Engineer – Data Quality Specialist

GeneralGeneralFull TimeRemoteSeniorTeam 1,001-5,000Since 2003H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

1 day ago

Salary

0

Seniority

Senior

Bachelor DegreePortugueseCloudETLPySparkPythonSQL

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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