Senior Cloud Data Architect
1 dia atrás
We are seeking a seasoned professional with expertise in designing, implementing, and maintaining data ingestion, processing, and storage solutions using Azure tools such as Azure Databricks, Azure Data Factory, Azure Data Lake, and SQL databases.
- Data Ingestion & Processing: Design and implement efficient data ingestion and processing pipelines using Azure Databricks and PySpark to ensure high-quality data for analytics and business intelligence.
- ETL Workflows: Develop and optimize Extract, Transform, Load (ETL) workflows using PySpark to ensure data integrity and quality.
- Data Modeling & Storage: Model and structure data efficiently to meet organizational analytics and BI needs, utilizing Azure Data Lake and SQL databases.
- Monitoring & Troubleshooting: Monitor and troubleshoot data infrastructure issues to ensure system availability and scalability.
Requirements:
- Azure Expertise: Solid knowledge of Azure Databricks, Azure Data Factory, and Azure Data Lake.
- Programming Skills: Experience in developing ETL solutions and data modeling using Python, Scala, or Spark.
- Big Data Concepts: Familiarity with Big Data concepts and cloud data architectures.
- Communication: Intermediate English proficiency.
Benefits:
- Career Growth: Opportunities for career advancement and professional growth.
- Work-Life Balance: Flexible work arrangements to maintain a healthy work-life balance.
- Professional Development: Reimbursement for certifications and training programs.
- Wellness: Access to wellness programs, including mental health support and fitness initiatives.
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