Transformative Data Engineer

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Job Overview We are seeking a skilled Cloud Solutions Architect to lead the design and implementation of scalable data pipelines using Databricks. The ideal candidate will have hands-on experience with Databricks, AWS-based application development, and strong collaboration skills. Key Responsibilities Design and develop scalable data pipelines using Databricks Integrate Databricks workflows into broader application architecture Collaborate with cross-functional teams to deliver cloud-native solutions Implement application features using AWS services and Python Troubleshoot and optimize performance across data and application layers Maintain documentation and contribute to agile ceremonies Requirements Databricks Experience: Hands-on experience with Databricks projects or engagements Proficient in data engineering workflows, notebooks, and Spark-based processing within Databricks AWS Full Stack Development: Hands-on experience with EC2, Lambda, S3, and Python-based development Experience building and deploying applications on AWS Familiarity with GitLab for version control and Jira for agile project tracking Languages: English: B2 Upper Intermediate, Spanish: B2 Upper Intermediate Skills and Qualifications Must have : Databricks experience, including project or engagement Proficient in data engineering workflows, notebooks, and Spark-based processing within Databricks Desirable : AWS Certified (Foundational or Associate level) Hands-on experience with EC2, Lambda, S3, and Python-based development Experience building and deploying applications on AWS Familiarity with GitLab for version control and Jira for agile project tracking


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