Engenheiro de Plataforma - Remoto

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Location: Fully Remote (Supporting PT Time Zone) Employment Type: Contract/ Freelance / CNPJOne year Contract.We are Remobi - We empower businesses to scale, innovate, and achieve their goals through high-quality technical solutions delivered by high performing, high quality, REMOTE nearshore technology teams.About the RoleWe are seeking a Senior Data Platform Engineer to join a project within the fintech industry.You will be part of the Data Platform team and take ownership of our Snowflake-based data platform.
You ll be working with cutting-edge technologies like Airflow, Snowflake, and Terraform, ensuring seamless data flow, governance, and performance.
This is a high-impact role, directly influencing our financial data operations.Key Responsibilities Snowflake Administration Manage users, roles, permissions, and governance.
Data Pipelines & Workflow Orchestration Build & maintain Airflow-based ETL pipelines.
Infrastructure as Code (IaC) Implement and maintain Terraform-based infrastructure.
Pipeline Maintenance & Optimization Maintain financial data pipelines & S3 ingestion.
New Data Integrations Support new fintech projects, including loans, payment providers, and legacy data migration to Snowflake.Who You Are 5+ years of experience in data engineering mixed with data platform engineering.
Strong Python & SQL skills for ETL development and data transformation.
Expertise in Snowflake administration & performance tuning.
Experience with Airflow for workflow automation.
Hands-on experience with Terraform & AWS (S3, IAM, Lambda, etc.).
Understanding of data governance, security, and compliance best practices.Nice-to-Have Skills Experience with Fivetran or other data ingestion tools.
Familiarity with Business Data Tools (BDT).
Fintech/financial services background.
Prior experience in legacy-to-Snowflake migration.Why Join Us? Work with modern data infrastructure & impact financial operations.
Collaborate with top engineers & business leaders in a fast-paced fintech environment.
Competitive Hourly Rate in USD Fully Remote Position - Must support Pacific Time Zone.Hiring Process Two-stage interview process Fast & efficient.
Knowledge transfer materials already prepared Apply today & be part of our fintech data revolution