Strategic Data Platform Specialist

1 dia atrás

São Paulo SP, Brasil beBeeDataWarehouseEngineer Tempo inteiro

Job Title: Data Warehouse Architect Our client, a leading gaming company, is seeking a skilled Data Warehouse Engineer to design and implement a new data warehouse instance for a major product line. The ideal candidate will have expertise in Databricks (DBX) and AWS-native data services, with a strong foundation in data warehousing principles. They will be responsible for building scalable pipelines, optimizing lakehouse performance, and integrating seamlessly with diverse real-time and batch data sources across AWS. Key Responsibilities: Design and deploy a new Databricks Lakehouse instance tailored to the client's product-level data needs. Architect and 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. Define data models, optimize query performance, and establish warehouse governance best practices. Collaborate cross-functionally with product teams, data scientists, and DevOps to streamline data workflows. Maintain CI/CD, preferably DBX for data pipelines using GitOps and Infrastructure-as-Code. Monitor data jobs and resolve performance bottlenecks or failures across environments. Required Skills & Experience: Databricks / Lakehouse Architecture End-to-end setup of Databricks workspaces and Unity Catalog. Expertise in Delta Lake internals, file compaction, and schema enforcement. Advanced PySpark/SQL skills for ETL and transformations. AWS Native Integration Deep experience with AWS Glue, S3, Redshift Spectrum, Lambda, and Athena. IAM and VPC configuration knowledge for secure cloud integrations. Data Warehousing & Modeling Strong grasp of modern dimensional modeling (star/snowflake schemas). Experience setting up lakehouse design patterns for mixed workloads. Automation & DevOps Familiarity with CI/CD for data engineering using tools like DBX, Terraform, GitHub Actions, or Azure DevOps. Proficient in monitoring tools like CloudWatch, Datadog, or New Relic for data pipelines. Bonus/Nice to Have: Experience supporting gaming or real-time analytics workloads. Familiarity with Airflow, Kafka, or EventBridge. Exposure to data privacy and compliance practices (GDPR, CCPA). Other Details: Location: Remote, Latin America (LATAM) region - USA. Length: 1+ Year.

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