
Senior Data Engineer
Posted May 31

Posted May 31
This is a fully remote position, open to applicants in Brazil.
• Design and develop a scalable data warehouse or data lakehouse to facilitate analytics, reporting, and business KPIs.
• Build and sustain dependable batch and/or streaming data pipelines from both internal databases and external systems.
• Collaborate with stakeholders to convert business needs into effective data models and schemas.
• Set up and uphold data modeling standards and best practices.
• Implement monitoring, data quality controls, and observability for all data workflows.
• Supply well-structured datasets to empower self-service analytics for BI and data teams.
• Document the data platform, including lineage, definitions, and contracts, to create a unified source of truth for metrics.
• Over 6 years of experience in data engineering.
• Proficient programming skills in Python.
• Demonstrated success in designing and delivering early-stage data platforms from concept (v1) to production.
• Extensive expertise with modern data tools (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Dagster/Prefect, Fivetran/Airbyte, etc.).
• Strong grasp of data modeling, ETL/ELT processes, and pipeline optimization.
• In-depth knowledge of data quality, testing, and monitoring best practices.
• Upper-Intermediate English proficiency or higher is advantageous.
• Experience with AI/ML data pipelines.
• Familiarity with finance/accounting datasets.
• Understanding of compliance frameworks such as SOX or GDPR.
• Experience in mentoring junior engineers.
• Employees have the option to work remotely.
Aimpoint Digital
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