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Cloud Data Architect
2 weeks ago
The ideal candidate will have 4+ years of experience in designing and implementing scalable data architectures using Azure Databricks, PySpark, and Apache Spark.
Key Responsibilities:
- Design and implement real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark
- Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling
- Develop and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses
- Deploy and optimize data solutions on cloud platforms with a focus on performance, security, and scalability
- Develop and optimize ETL/ELT pipelines for structured and unstructured data
- Automate data workflows using CI/CD and DevOps best practices
- Monitor, troubleshoot, and enhance data pipelines for high availability and reliability
Requirements:
- 4+ years of experience in data engineering
- Expertise in Azure Databricks, PySpark, and Apache Spark
- Experience in designing and maintaining cloud-based data architectures
- Knowledge of cloud platforms (Azure, AWS, GCP)
- Excellent problem-solving skills and attention to detail
What We Offer:
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment