Role: Senior Azure Data Engineer
Location: Mount Laurel NJ (Day 1 Onsite)
Duration: Long Term
Visa Type: H4EAD
Primary Skills: Azure Databricks ADF Synapse PySpark/Python
Secondary Skills: Data Warehouse
Domain: Banking Risk & Regulatory / Commercial / Credit Cards / Retail
:
Must Have:
8 12 years of IT experience in Data Warehousing and ETL.
Hands-on experience with Cloud Technologies (Azure ADF Synapse PySpark/Python).
Strong understanding of design source-to-target mapping (STTM) and ability to create specification documents.
Flexibility to operate from client office locations.
Capability to mentor and guide junior resources.
Nice to Have:
Relevant certifications (Azure/Databricks etc.).
Job Title: Senior Data Scientist
Location: Charlotte NC (Hybrid)
Client: LTI / Honeywell
Citizenship Requirement: Only US Citizens
Experience Required: 15 years
Key Responsibilities:
Lead end-to-end data science projects aligned with business goals.
Design and implement advanced machine learning and statistical models.
Provide strategic input to the Data Science & MLOps team.
Apply deep analytical thinking to solve complex data problems and deliver actionable insights.
Must-Have Skills:
Bachelors or Masters degree in Computer Science Statistics Mathematics or related field.
4 years of hands-on experience in Data Science and ML model development.
4 years of experience with Azure Databricks or AWS Databricks for full-cycle model development.
Expertise in at least two AI/ML domains: Machine Learning Deep Learning NLP.
Strong experience with GitHub Actions CI/CD pipelines and MLOps frameworks.
Proficiency in Python PySpark and SQL.
Demonstrated mastery in statistical modeling and data-driven problem solving.
Excellent communication and interpersonal skills.
Preferred Profile:
We are seeking a highly experienced and technically strong candidate with a proven track record in delivering impactful AI/ML solutions in enterprise environments. The ideal candidate will be a strategic thinker hands-on coder and a collaborative team player.
Job Title: .NET Production Support
Location: Erlanger KY (Hybrid)
Hire Mode: 3-Month Contract to Hire
Primary Skills Required:
.NET Technologies
SQL
Production Support
P1/P2 Ticket Handling
ServiceNow / ITSM
ITIL Processes
Job Responsibilities:
Lead technical aspects of the team and client discussions
Debug and enhance codebase
Handle standard service requests and incident investigations
Perform root cause analysis for P1/P2 issues
Maintain and update application and user documentation
Provide business support and resolve end-user queries
Ensure adherence to SLA/KPI timelines
Update and enrich the Knowledge Error Database (KEDB)
Resolve functional/technical tickets using the knowledge base
Monitor application performance and health
Provide on-call support during weekends and participate in MIM calls for P1/P2 incidents (24x7 availability)
Support and maintain applications in production
Apply ITIL best practices in daily support activities
Role: Senior Azure Data Engineer Location: Mount Laurel NJ (Day 1 Onsite) Duration: Long Term Visa Type: H4EAD Primary Skills: Azure Databricks ADF Synapse PySpark/Python Secondary Skills: Data Warehouse Domain: Banking Risk & Regulatory / Commercial / Credit Cards / Retail : Must Have: 8 1...
Role: Senior Azure Data Engineer
Location: Mount Laurel NJ (Day 1 Onsite)
Duration: Long Term
Visa Type: H4EAD
Primary Skills: Azure Databricks ADF Synapse PySpark/Python
Secondary Skills: Data Warehouse
Domain: Banking Risk & Regulatory / Commercial / Credit Cards / Retail
:
Must Have:
8 12 years of IT experience in Data Warehousing and ETL.
Hands-on experience with Cloud Technologies (Azure ADF Synapse PySpark/Python).
Strong understanding of design source-to-target mapping (STTM) and ability to create specification documents.
Flexibility to operate from client office locations.
Capability to mentor and guide junior resources.
Nice to Have:
Relevant certifications (Azure/Databricks etc.).
Job Title: Senior Data Scientist
Location: Charlotte NC (Hybrid)
Client: LTI / Honeywell
Citizenship Requirement: Only US Citizens
Experience Required: 15 years
Key Responsibilities:
Lead end-to-end data science projects aligned with business goals.
Design and implement advanced machine learning and statistical models.
Provide strategic input to the Data Science & MLOps team.
Apply deep analytical thinking to solve complex data problems and deliver actionable insights.
Must-Have Skills:
Bachelors or Masters degree in Computer Science Statistics Mathematics or related field.
4 years of hands-on experience in Data Science and ML model development.
4 years of experience with Azure Databricks or AWS Databricks for full-cycle model development.
Expertise in at least two AI/ML domains: Machine Learning Deep Learning NLP.
Strong experience with GitHub Actions CI/CD pipelines and MLOps frameworks.
Proficiency in Python PySpark and SQL.
Demonstrated mastery in statistical modeling and data-driven problem solving.
Excellent communication and interpersonal skills.
Preferred Profile:
We are seeking a highly experienced and technically strong candidate with a proven track record in delivering impactful AI/ML solutions in enterprise environments. The ideal candidate will be a strategic thinker hands-on coder and a collaborative team player.
Job Title: .NET Production Support
Location: Erlanger KY (Hybrid)
Hire Mode: 3-Month Contract to Hire
Primary Skills Required:
.NET Technologies
SQL
Production Support
P1/P2 Ticket Handling
ServiceNow / ITSM
ITIL Processes
Job Responsibilities:
Lead technical aspects of the team and client discussions
Debug and enhance codebase
Handle standard service requests and incident investigations
Perform root cause analysis for P1/P2 issues
Maintain and update application and user documentation
Provide business support and resolve end-user queries
Ensure adherence to SLA/KPI timelines
Update and enrich the Knowledge Error Database (KEDB)
Resolve functional/technical tickets using the knowledge base
Monitor application performance and health
Provide on-call support during weekends and participate in MIM calls for P1/P2 incidents (24x7 availability)
Support and maintain applications in production
Apply ITIL best practices in daily support activities
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