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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operating and optimizing data pipelines using AWS, Airflow, and Redshift, while effectively translating business requirements into actionable data models and visualizations. Proficient in SQL and BI tools such as Metabase, Luzmo, Superset, and Tableau to deliver reliable reporting solutions.
Highest-signal resume keywords
AWS Data Pipeline ManagementSQL Data Modeling and Query OptimizationAirflow and dbt ExperienceBI Tools ProficiencyData Quality and Incident Resolution
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Operate, monitor, and optimize data pipelines for ingestion, transformation, and publication on AWS, Airflow, and Redshift
- Model and transform data with SQL and dbt, building reliable datasets for internal and client reporting
- Design and maintain dashboards and reports in Metabase, Luzmo, Superset, and Tableau
- Translate ambiguous business requirements into actionable metrics and visualizations
- Diagnose and resolve incidents, reprocessing needs, and data-quality deviations in production reports
- Document definitions, dependencies, and construction criteria to maintain the data ecosystem
- Propose and apply technical guidelines for modeling, publication, integrations, and operations aligned with Head of Data standards
- Support legacy Pentaho processes during migration or decommissioning
- Collaborate with Product, Technology, CX, Implementation, and Customer Success to prioritize improvements and address cross-functional needs
- Translate business needs into datasets, models, pipelines, and dashboards aligned with the Head of Data roadmap
Requirements
What you’ll need- Experience in Data Engineer, Analytics Engineer, BI Engineer, or similar roles
- Strong SQL skills for extraction, validation, modeling, and query optimization
- Experience operating data pipelines in cloud environments, ideally AWS
- Practical knowledge of Redshift and data warehouse structures
- Experience working with data lakes, source integration, and transformation layers
- Experience with Airflow and dbt
- Experience building reporting solutions and dashboards
- Ability to work with BI tools including Metabase, Luzmo, Superset, Tableau, and legacy Pentaho processes
- Experience collaborating with non-technical stakeholders and translating ambiguous requirements
- Operational organization and rigor
- Attention to detail and data quality orientation
- Autonomy to diagnose and solve problems
- Prioritization skills in contexts with multiple requests
- Clear communication with technical and business teams
- Continuous improvement and simplification mindset
Benefits
Comp & perks- Work with global brands and disruptive startups
- Remote work / Home office
- If a hybrid or on-site model is required, you will be informed from the first session
- Work schedule aligned with the assigned project/team
- Monday to Friday schedule
- Legal benefits (Applicable for Mexico)
- Day off on your birthday
- Private health insurance (Applicable for Mexico)
- Life insurance (Applicable for Mexico)
- Multicultural teams
- Access to courses and certifications
- Meetups with industry experts and top universities
- Virtual networking events and interest groups
- English classes
- Opportunities within our different business lines
- Proudly certified as a Great Place to Work
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData Pipeline OptimizationData ModelingData TransformationData WarehousingReporting SolutionsData Quality AssuranceIncident DiagnosisData Ecosystem DocumentationCloud Environment Operations
Soft Skills
Clear CommunicationCollaboration with StakeholdersAttention to DetailOperational OrganizationPrioritization Skills
Tools & Technologies
AWSAirflowRedshiftDbtMetabaseLuzmoSupersetTableauPentahoData Lakes
Industry Keywords
Data EngineeringAnalytics EngineeringBusiness Intelligence EngineeringData QualityData Integration