Cloud Data Engineer (AWS / Databricks)
Purple DrivePlano, TX, United Statesjob_description.job_card.variable_days_ago
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job_description.job_card.job_description7-10 years of hands-on experience in data engineering and cloud frameworks . Proven expertise with AWS big data services (EMR, EKS, S3, Lambda, Glue). Strong development skills in Scala, Python, and Java . Deep knowledge of Databricks (DBX) for batch and streaming workloads. Solid experience with Terraform for infrastructure automation. Familiarity with CI / CD, containerization (Docker, Kubernetes), and Agile methodologies. Exposure to machine learning workflows on Databricks. Knowledge of Airflow or other orchestration tools . Experience with data lakehouse architectures .
Key Responsibilities :
- Design, build, and optimize scalable data pipelines and frameworks on AWS leveraging EMR, EKS, S3, and related services .
- Develop, deploy, and manage Databricks (DBX) workflows for big data processing, analytics, and machine learning.
- Implement infrastructure as code (IaC) solutions using Terraform for automated provisioning and environment consistency.
- Write efficient, reusable, and optimized code in Scala, Python, and Java for data transformation, streaming, and integration.
- Collaborate with architects, data scientists, and business stakeholders to translate requirements into technical solutions.
- Ensure performance tuning, scalability, and cost optimization across cloud-based data platforms.
- Enforce best practices in security, CI / CD, testing, and DevOps integration for cloud-native applications.
Required Skills & Experience :
Nice-to-Have Skills :
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Aws Cloud Engineer • Plano, TX, United States
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