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Senior Data Platform Engineer (Snowflake/AWS)
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AI Summary
Seeking a Senior Data Engineer with deep Databricks expertise to design scalable data architectures, build pipelines, and mentor teams. Focus on Lakehouse architectures, Delta Lake, Spark, and cloud data platforms. Requires advanced technical skills in Databricks, PySpark, and data governance.
Key Highlights
Fully remote opportunity
Focus on Databricks, Delta Lake, and Lakehouse architectures
Mentorship and technical leadership role
Key Responsibilities
Design and optimize scalable data architectures using Databricks
Develop and maintain data pipelines for ingestion, transformation, and delivery
Implement Lakehouse architectures and Medallion structures (Bronze, Silver, Gold)
Develop batch and streaming data processing solutions (CDC, Structured Streaming)
Orchestrate data ingestion and integration processes using ADF, Auto Loader, and Lakeflow
Ensure data governance, security, and access control with Unity Catalog
Develop REST APIs, microservices, and automation solutions using Python
Establish CI/CD processes and automated deployments
Optimize Spark performance and resource allocation
Monitor and maintain production data pipelines
Act as a technical leader and mentor team members
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Technical Skills Required
Benefits & Perks
Meal and/or food allowance
Health insurance and dental insurance
Pet health insurance
Home-office allowance for remote positions
Life insurance
Zenklub access (psychological and nutritional support)
TotalPass membership
Certification and continuous learning program
Employee referral program
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Nice to Have
Databricks certifications (Associate and Professional)
Experience with Airflow, Kafka, dbt, and NoSQL databases
Experience with Photon, partitioning, and shuffle optimization
Job Description
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Databricks) | SR based in Brazil.
We are seeking a Senior Data Engineer with deep expertise in Databricks to design, build, and evolve scalable, high-performance data architectures. In this role, you will lead the development of reliable data pipelines and complex processing solutions across batch and streaming environments.
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