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Tech Stack
Tools & technologiesAmazon RedshiftPythonSparkSQL
About the role
Key responsibilities & impact- Structure and evolve the corporate analytics layer, transforming data already available on the platform into reliable, organized, metrics-oriented assets.
- Analytics Modeling & Metrics: Develop and evolve dimensional and metric-driven models.
- Define and standardize corporate KPIs.
- Build data marts oriented to business domains.
- Define and maintain a semantic layer for consumption by BI tools and analytical applications.
- Document business rules and metric calculations.
- Solution and Data Product Development: Design and evolve data products based on certified metrics.
- Create analytics-ready datasets for consumption.
- Establish reliable data foundations to support AI initiatives and predictive models.
- Collaborate with business areas in designing data-driven solutions.
- Quality, Governance & Performance: Implement quality tests in the analytics layer.
- Ensure traceability and consistency of metrics.
- Ensure adequate performance for analytical consumption.
- Strategic Engagement: Work closely with Product, Operations and Finance to define strategic metrics.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related fields.
- Proven experience as an Analytics Engineer or Data Engineer.
- Proficiency in Python and SQL for developing and optimizing data pipelines.
- Strong knowledge of distributed Big Data concepts and practices, with both batch and real-time processing.
- Experience optimizing performance and query tuning in Redshift and Spark environments.
- Knowledge of data modeling (relational, dimensional, and lakehouse).
- Familiarity with Git, CI/CD, and DataOps/DevOps practices.
- Excellent communication skills, technical leadership, and multidisciplinary collaboration.
- Analytical, proactive, and delivery-oriented profile with technical excellence.
Benefits
Comp & perks- Flexible benefit / meal voucher: R$ 45.00 per business day.
- Home office allowance.
- Need to work onsite? We provide commuter benefit (vale-transporte). For those coming by train/metro, we offer a shuttle from the station to the office.
- Bradesco health plan.
- Amil Dental dental plan.
- Pharmacy assistance.
- Childcare assistance.
- Birthday day off to celebrate as you wish!
- Health & fitness: partner apps for accredited gyms.
- Mental health support: partnerships with online therapy and meditation platforms.
- Partnership with SESC - Credencial Plena.
- Exclusive discounts at top universities and institutions for undergraduate, graduate and MBA courses. We also provide free access to Omie Academy for employees.
- Partnership for in-company English courses.
- Insurance discount program.
- Swile Shop: platform for exclusive discounts.
- Partnership with Dell.
- PPRL.
- Travel benefits.
- Life insurance.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata modelingBig DataRedshiftSparkdata pipelinesanalytics modelingmetrics-driven modelsdata product development
Soft Skills
communication skillstechnical leadershipmultidisciplinary collaborationanalyticalproactivedelivery-oriented
