Cloud Data Engineer (AWS / Databricks)
Purple Drive
Overview: 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.
- 7-10 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 .
Vacancy posted 1 day ago
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