High-Performing Data Architect

Há 7 dias


São Paulo, Brasil beBeeData Tempo inteiro

Senior Data Engineer for Scalable Databricks Solutions We are seeking a skilled Senior Data Engineer to spearhead the design and implementation of a scalable Databricks data warehouse solution. About the Role: The ideal candidate will have hands-on experience with Databricks, AWS-native data services, and cloud architecture. They will be responsible for architecting and deploying a high-performance lakehouse instance tailored to our product-level data needs. Design and deploy a new Databricks Lakehouse instance Implement robust data ingestion pipelines using Spark (PySpark/Scala) and Delta Lake Integrate AWS-native services (S3, Glue, Athena, Redshift, Lambda) with Databricks for optimized performance and scalability The successful candidate will have a strong understanding of modern dimensional modeling, experience setting up lakehouse design patterns for mixed workloads, and proficiency in monitoring tools like CloudWatch, Datadog, or New Relic for data pipelines. Required Skills & Qualifications: Technical skills include: Databricks / Lakehouse Architecture: End-to-end setup of Databricks workspaces and Unity Catalog AWS Native Integration: Deep experience with AWS Glue, S3, Redshift Spectrum, Lambda, and Athena Data Warehousing & Modeling: Strong grasp of modern dimensional modeling (star/snowflake schemas) Bonus qualifications include: Experience supporting gaming or real-time analytics workloads Familiarity with Airflow, Kafka, or EventBridge Benefits: This role offers the opportunity to work on cutting-edge technology and collaborate with cross-functional teams to streamline data workflows. Others: Please note that this is a remote position within the LATAM region and USA.



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