Cloud Data Engineer
7 days ago
One of our leading client is looking for Cloud Data Engineer in Irving TX/ Minneapolis MN
Required Skills and Qualifications
1. Technical Skills:
- Expertise in Python and Apache Spark for large-scale data processing.
- Strong experience in Azure Synapse Analytics, including SQL Pools and Spark Pools.
- Advanced proficiency in Azure Data Factory for ETL pipeline orchestration and management.
- Knowledge of Data Warehousing principles, with hands-on experience building solutions on Azure.
- Experience with SQL, including complex queries, optimization, and performance tuning.
- Familiarity with CI/CD tools like Azure DevOps and managing infrastructure in Azure Cloud.
- Experience in Java for API integration and microservices architecture.
- Hands-on knowledge of Kubernetes for containerized data processing environments.
- Proficiency in working with Azure Data Lake Storage (ADLS) Gen2 for data storage and management.
- Experience working with APIs (REST, SOAP) and building API-based data integrations.
2. Agile and Cross-Functional Skills:
- Experience working in an Agile environment, using Scrum or Kanban.
- Ability to lead, mentor, and coach junior developers in the team.
- Strong collaboration skills to work with data scientists, analysts, and cross-functional teams to deliver end-to-end data solutions.
3. Behavioral Skills:
- Strong analytical and problem-solving skills with a passion for data-driven solutions.
- Excellent communication and presentation skills, able to explain complex technical concepts to non-technical stakeholders.
- Ability to work in a fast-paced, dynamic environment with changing priorities.
- Self-motivated and results-oriented with attention to detail.
Preferred Qualifications
- Azure certifications in data engineering or cloud architecture.
- Experience deploying AI/ML models on cloud platforms.
- Familiarity with Data Governance best practices, ensuring compliance with data privacy regulations
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