Analytics Engineer - Digital Media
New
Based in BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2–4+ years
- Required Skills
- AWSPythonSQLGitTableauData engineeringData modelingdbt
Requirements
- 2–4+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Analytics, or Data Science
- Strong SQL expertise with the ability to design efficient and scalable queries and data models
- Hands-on experience with cloud data warehouses, ideally AWS and Amazon Redshift
- Proven experience working with business stakeholders to translate requirements into data solutions
- Familiarity with dbt or similar SQL transformation and version-controlled workflows is highly desirable
- Strong understanding of data modeling concepts (dimensional modeling, star schema, snowflake schema, SCDs)
- Experience building and maintaining data documentation, metrics definitions, and data catalogs
- Familiarity with BI tools such as Tableau, AWS QuickSight, Omni, or similar platforms
- Experience using Git and version control for managing SQL and data pipelines
- Strong analytical thinking, problem-solving, and communication skills
- Python experience for data pipelines or automation is a strong plus
Responsibilities
- Design, build, and maintain scalable data models in Amazon Redshift to support reporting, dashboards, and analytical use cases
- Collaborate with data engineering teams to enhance and optimize cloud-based analytics warehouse architecture
- Define and enforce standards for schema design, naming conventions, and data lineage documentation
- Develop and maintain reliable data pipelines that ensure clean, structured, and accessible data for business users
- Partner with stakeholders to gather requirements and translate business needs into scalable data solutions
- Create and maintain comprehensive data documentation, including metric definitions and transformation logic
- Support BI platforms by delivering analytics-ready datasets and contributing to dashboard development
- Implement and monitor data quality processes, including testing, validation, and alerting mechanisms
- Identify and drive improvements in data accessibility, consistency, and usability across the organization
- Promote analytics engineering best practices, including version control, code reviews, and reproducible workflows
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