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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and optimizing ETL/ELT pipelines, with advanced skills in SQL and Python for data manipulation. Experienced in managing data in Google BigQuery and ensuring compliance with Brazil’s LGPD data protection law.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentAdvanced SQL ProficiencyGoogle BigQuery ManagementPython for Data ProcessingData Security Compliance (LGPD)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL ProcessesSQL QueriesData ModelingData TransformationData Quality ControlsPostgreSQLNoSQL DatabasesData Pipeline AutomationData AnalysisData Documentation
Tools & Technologies
Google BigQueryPostgreSQLMongoDBAirflowN8nMetabaseLooker StudioGitGoogle Cloud Platform
Industry Keywords
Education Sector DataPublic Sector DataData PrivacyData SecurityData Governance
Tech Stack
Tools & technologiesAirflowBigQueryCloudETLGoogle Cloud PlatformMongoDBNoSQLPostgresPythonSQL
About the role
Key responsibilities & impact- Develop, maintain, and optimize ETL/ELT pipelines for ingesting, transforming, and delivering data from multiple sources.
- Model and manage data in Google BigQuery and other data environments, with a focus on performance, cost, and the organization of data layers.
- Write complex and efficient SQL queries for data transformation, validation, and analysis.
- Integrate and maintain PostgreSQL and NoSQL databases, ensuring consistency across environments.
- Automate processing and data-loading routines using Python.
- Implement data quality controls, pipeline monitoring, and failure handling.
- Document data flows, models, and business rules.
- Support analytics and product teams in making data available for dashboards and key performance indicators.
- Safeguard data security and privacy in compliance with Brazil’s LGPD data protection law.
- Design, develop, and maintain data pipelines that integrate information from different education networks and systems, ensuring quality, traceability, and availability for analytics, product, and management teams.
Requirements
What you’ll need- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field.
- Demonstrated professional experience as a Data Engineer.
- Advanced SQL proficiency.
- Hands-on experience with Google BigQuery.
- Experience building and maintaining ETL processes.
- Knowledge of PostgreSQL.
- Knowledge of NoSQL databases, such as MongoDB, Firestore, or similar technologies.
- Proficiency in Python for data manipulation and processing.
- Experience working with education-sector or public-sector data.
- Knowledge of orchestration tools, such as Airflow, n8n, or similar technologies.
- Experience with BI tools, such as Metabase or Looker Studio.
- Familiarity with version control (Git) and software engineering best practices.
- Knowledge of Google Cloud Platform services beyond BigQuery.
- Knowledge of Brazil’s LGPD as it applies to data processing.
Benefits
Comp & perks- Amil Black health insurance.
- SulAmérica dental insurance.
- Meal and food allowance (iFood Benefícios).
- Optum: multidisciplinary support and guidance.
- Wellhub (formerly Gympass): access to a health and wellness platform.
- Extended parental leave for mothers, fathers, and adoptive families.
- Childcare allowance for children up to 5 years old.
- Annual bonus tied to the achievement of organizational goals.
- Home office allowance.
- Birthday month day off.
- Extended holiday weekends and year-end recess.
- Sesc membership.
- Annual long-service award celebrating the journey of the people who build Motriz.
