Job Description

Job Title: Azure Data Engineer / Capital Markets / Hedge Fund Rate: $60-70/hr on W2 or $70-80/hr on C2C- MAX Duration: 12+ Months Location: Hybrid/Dallas , TX- 3 days a week. Azure Data engineers in the Dallas area with Banking or Capital Markets experience. CANDIDATES NEED TO BE IN TEXAS NOW (NO RELOCATION CONSIDERED) AND HAVE RECENT CAPITAL MARKETS/BANKING EXPERIENCE. THE MANAGER WANTS TO SEE MORE SENIOR CANDIDATES THEN 10 YEARS We need: A senior (12+ years) Azure Data Analyst with extensive experience working with the Azure Data suite listed below. THE CLIENT WOULD LIKE TO SEE CERTIFICATIONS.CANDIDATES MUST HAVE RECENT CAPITAL MARKETS/TRADING AND/OR HEDGE FUND EXPERIENCE AND EXCELLENT COMMUNICATION SKILLS.

• Azure SQL Server
• Azure Data Factory (ADF)
• Azure Databricks (highlighted expertise)
• Azure Data Lake Storage (ADLS)
• Azure Key Vault
• Azure Functions
• Logic Apps

1. How many years working with: Azure Data Analyst
2. How many years working with: Azure Data Factory (ADF
3. How many years working with: Azure Databricks (highlighted expertise)
4. How many years working with: Logic Apps
5. How many years working with: Capital Markets/Hedge Funds

Job Description: Senior Data Engineer 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.
• 5+ 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
• 5+ 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: 1. Data Pipeline Development: • Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources. 2. Data Integration: • Integrate data from multiple sources, ensuring consistency, quality, and reliability. 3. Database Management: • Design, implement, and optimize database schemas and structures to support data storage and retrieval. 4. ETL Processes: • Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems. 5. Data Warehousing: • Build and maintain data warehouses to support business intelligence and analytics needs. 6. Performance Optimization: • Optimize data processing and storage performance for efficient resource utilization and quick data retrieval. 7. Documentation: • Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas. 8. Monitoring and Troubleshooting: • Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise. 9. Technology Evaluation: • Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending new tools and technologies as appropriate. Interested candidates email your resume to alex@amtexenterprises.com #J-18808-Ljbffr Amtex Enterprises Inc

Job Tags

Relocation, 3 days per week,

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