Job Title: Azure Data Engineer
Location: Dallas TX (Local only with DL)
Work Type: Hybrid (3 days a week onsite)
Job Type: Contract (1 year)
Rate: $70/hr on W2
The Vendor is very specific about the keywords to be there in the resume and the title should match the LinkedIn of the candidate for every project. He does CTRLF to check.
Notes:
LinkedIn needed
Interview Type: Video; Very recent experience in Banking Capital Markets or Financial services.
Candidates must have excellent communication skills / no accent. Please screen communication skills before submitting.
Job Description:
New requirement: Top priority: Requirement Notes (Candidate Job description below) : We need a senior (10 years) Azure Data engineer with very 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. Please screen for communication skills before sending.
*** All submittals must include:
- Drivers license or State ID
- Link to the candidates LinkedIn account.
- Below submittal Format
*** Experience required on a resume and for submittal:
1. How many years working with: Azure Data Engineer
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: Banking Capital Markets or Financial services (needed from 1st project)
*** Please provide all the below information in the required format for Client submittal along with State ID or Drivers License. All the requested details must be supplied for client submittal.
- Full Name as per Passport or Drivers License:
- Candidates Rate:
- Candidates current (Now) Location:
- Availability to Interview: One Days notice
- Availability to Start:
- Email Address:
- Phone Number:
- Visa Status:
- Education - College/Year of graduation:
- Link to LinkedIn
- Certifications (Please list)
Senior Data Engineer - Dallas
Education:
- Bachelors or Masters 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 and .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.
Job Title: Azure Data Engineer Location: Dallas TX (Local only with DL) Work Type: Hybrid (3 days a week onsite) Job Type: Contract (1 year) Rate: $70/hr on W2 The Vendor is very specific about the keywords to be there in the resume and the title should match the LinkedIn of the candidate for every...
Job Title: Azure Data Engineer
Location: Dallas TX (Local only with DL)
Work Type: Hybrid (3 days a week onsite)
Job Type: Contract (1 year)
Rate: $70/hr on W2
The Vendor is very specific about the keywords to be there in the resume and the title should match the LinkedIn of the candidate for every project. He does CTRLF to check.
Notes:
LinkedIn needed
Interview Type: Video; Very recent experience in Banking Capital Markets or Financial services.
Candidates must have excellent communication skills / no accent. Please screen communication skills before submitting.
Job Description:
New requirement: Top priority: Requirement Notes (Candidate Job description below) : We need a senior (10 years) Azure Data engineer with very 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. Please screen for communication skills before sending.
*** All submittals must include:
- Drivers license or State ID
- Link to the candidates LinkedIn account.
- Below submittal Format
*** Experience required on a resume and for submittal:
1. How many years working with: Azure Data Engineer
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: Banking Capital Markets or Financial services (needed from 1st project)
*** Please provide all the below information in the required format for Client submittal along with State ID or Drivers License. All the requested details must be supplied for client submittal.
- Full Name as per Passport or Drivers License:
- Candidates Rate:
- Candidates current (Now) Location:
- Availability to Interview: One Days notice
- Availability to Start:
- Email Address:
- Phone Number:
- Visa Status:
- Education - College/Year of graduation:
- Link to LinkedIn
- Certifications (Please list)
Senior Data Engineer - Dallas
Education:
- Bachelors or Masters 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 and .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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