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Azure Data Engineer

Syntricate Technologies

Dallas, TX

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JOB DETAILS
JOB TYPE
Full-time
SKILLS
Analysis Skills, Banking Services, Best Practices, Business Intelligence, Business Support, Capital Markets, Cloud Computing, Communication Skills, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Collection, Data Lake, Data Management, Data Processing, Data Quality, Data Recovery, Data Storage, Data Warehousing, Database Administration, Database Design, Database Extract Transform and Load (ETL), Database Optimization, Database Technology, Detail Oriented, Documentation, Emerging Technology, Financial Services, Fortune 500 Customers, Git, Identify Issues, Information Technology & Information Systems, Interpersonal Skills, Mathematics, Microsoft .NET, Microsoft SQL Server, Microsoft Windows Azure, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, Resource Utilization, SQL (Structured Query Language), Sales Pipeline, Technology Analysis
LOCATION
Dallas, TX
POSTED
30+ days ago
Azure Data Engineer Dallas TX (Hybrid 3 days in a week) 12+ Months Web Cam Interview Requirement Notes (Candidate Job description below) : We need a senior (10+ years) Azure Data engineer with recent experience in Banking, Capital Markets or Financial services. Candidates must have recent experience working with Azure Data Factory (ADF) and Azure Databricks in a Financial environment. Candidates must have excellent communication skills/no accent. Experience required on a resume and for submittal: How many years working with: Azure Data Engineer How many years working with: Azure Data Factory (ADF) How many years working with: Azure Databricks (highlighted expertise) How many years working with: Banking, Capital Markets or Financial services OR FORTUNE 500 Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field (Engineering or Math preferred). Technical Skills: Programming & Tools: 10+ years of experience in SQL, Python. .Net is a plus. 3+ years of experience in Azure cloud services, including: Azure SQL Server Azure Data Factory (ADF) Azure Databricks (highlighted expertise) Azure Data Lake Storage (ADLS) Azure Key Vault Azure Functions Logic Apps 3+ years of experience in GIT and deploying code using CI/CD pipelines. Certifications (Preferred): Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer Associate or Professional Soft Skills: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and collaboratively within a team. Attention to detail and a commitment to delivering high-quality work. Responsibilities: Data Pipeline Development: Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources. Data Integration: Integrate data from multiple sources, ensuring consistency, quality, and reliability. Database Management: Design, implement, and optimize database schemas and structures to support data storage and retrieval. ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems. Data Warehousing: Build and maintain data warehouses to support business intelligence and analytics needs. Performance Optimization: Optimize data processing and storage performance for efficient resource utilization and quick data retrieval. Documentation: Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas. Monitoring and Troubleshooting: Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise. Technology Evaluation: Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending new tools and technologies as appropriate.

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Syntricate Technologies

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