
High-Performance Data Architect
5 days ago
We are seeking an experienced Data Pipeline Architect with expertise in cloud-based data engineering to lead the design and development of high-performance data pipelines.
This role involves building, maintaining, and optimizing large-scale data environments on AWS using Databricks for advanced analytics and machine learning workloads. The ideal candidate will have a strong understanding of data warehousing, big data frameworks, and workflow orchestration tools.
- Design and develop scalable data architectures using AWS services and Databricks.
- Build and optimize ETL/ELT processes for structured and unstructured datasets.
- Leverage Databricks for machine learning and advanced analytics.
- Collaborate with stakeholders to deliver reliable data solutions.
- Implement data governance best practices.
- Maintain high availability, scalability, and cost-effectiveness of data solutions.
Required Skills:
- 7+ years of experience in data engineering.
- Strong hands-on experience with AWS cloud services.
- Expertise in Databricks (PySpark, Delta Lake).
- Proficiency in Python and SQL.
- Deep understanding of data warehousing and big data frameworks.
- Experience with workflow orchestration tools.
Preferred Qualifications:
- Familiarity with MLOps within Databricks.
- Experience with real-time/streaming data.
- Knowledge of infrastructure as code.
- Exposure to data security best practices.
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