[xrecnet] Hotlist - Updated

Hello,

Please share your C2C roles on ram.sales22(a)gmail(dot)com /   rk(a)bluespacetech(dot)com 

Call me on 281-809-0705

 

Consultant Name	Skill Set		Exp		Visa Status		Location		Relocation
Fayaz	Fullstack Dot net		11+		H1B		GA		GA or Remote
Sai Vignan	GCP Data engineer		10+		H1B		Dallas TX		Day1 - Onsite Anywhere
Satwika	Python, AWS, Fullstack		6+		EAD OPT		TX		Day1 - Onsite Anywhere
Laxmi Narayana	SDET QA		11+		H1B		TX		Remote
Sachin	NetSuite		12+		H1B		Atlanta GA		REMOTE
Suhas	Data engineer Azure, ETL, AWS		12+		H1B		OH		Day1 - Onsite Anywhere
Srikanth K	Enterprise Solutions Architect		14+		H1B		TX		Remote
Satyanarayana	Lead Python AWS		15+		H1B		NC		Remote
Rajesh	Lead SAP TM MM SD EWM		14+		H1B		TX		Remote
Ghanesh	Lead Java Back end		10+		H1B		TX		Day1 - Onsite Anywhere
Archana	Cyber Security Lead/Architect  Certified		11+		H1B		PA		Day1 - Onsite (Anywhere in US)
Rohit D	SAP ABAP - Certified		11+		H-1B		Dallas TX		Day1 - Onsite (Anywhere in US)
Bhavana	Scrum Certified		8+		H1B		OH		Day1 - Onsite
Swaroop	.NET Developer Azure Agular Certified		12+		H-1B		Houston, TX		Day1 - Onsite
Junaid	SAP MM EWM		8+		EAD OPT		Fairfax VA		Day1 - Onsite
Pavan	SAP TM EWM		9+		H1B		OH		Day1 - Onsite

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 Genesys, Dellboomi, AWS connect, SAP, Build, Splunk, BHIM, Azure, GRC, Security, NetSuite, SRE, UX, QA, QC, Load runner, DBA, AI, FICO, FICA, TM, Databricks, snowflakes, ERP, cognos,oracle, CQ5, AEM ,Citizen, USC, GC, TN, analyst, HCM

 

 

 

 

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[xrecnet] SAS Administrator Location: Charlotte, NC (Onsite)

 
 Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 Rate               $45-50/hr on C2C

 

 

Role Name:   SAS Administrator

Location:       Charlotte, NC  (Onsite)

 NO OPT /CPT

 

 

Job Description:

Role Name:   WF_SAS Admin

Location:    Charlotte, NC (Onsite)

 

8-12 Years Yrs of Exp

 

• The  Business Intelligence Competency Center (BICC) SAS Administration team is looking for a SAS Administrator familiar with a SAS Grid enabled EBI n-tiered architecture installed in a RHEL / IIS / Windows client/server environment. SAS Viya 3.5 and SAS Viya 4 experience is a plus.
• Candidate would maintain existing RHEL scripts and schedules and would be expected to develop new scripts, as required, to support additional needs and to provide SAS consulting assistance to approximately 8000 end users. SAS Grid architecture and installation experience is required.
• Support responsibilities include, but are not limited to problem determination, best practices, and coding techniques.
• Data sources include a variety of formats including DB2, Oracle, SQL Server, MS Access, MS Excel, Hadoop, Dremio, Starburst as well as ASCII, EBDCIC, and CLI interfaces.
• The successful candidate must work effectively across a wide range of end-user expertise and experience which will require patience and strong communication skills.
• SAS platform administration (SAS 9.x or Viya).
• Familiarity with UNIX/Linux command line and file systems.
• Strong attention to detail and willingness to learn.
• Good communication and ticket-handling skills.
• Ability to follow documented procedures and escalate appropriately.
• Exposure to SAS Grid, VA, or Viya environments.
• Experience with ITSM tools (e.g., ServiceNow, Jira).
• Basic scripting knowledge (Shell, Python, etc.).

 

Regards

Pavan

VDart Inc

 

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

Confidentiality Notice

 

The information contained in this message may be privileged and confidential and protected from disclosure. If the reader of this message is not the intended recipient, or an employee or agent responsible for delivering this message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please notify us immediately by replying to the message and deleting it from your computer.

 

 

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[xrecnet] : Data Architect@: Arlington, VA - only locals who can go f2f

 

Role Name:  Data Architect

Location:      Arlington, VA - Hybrid - FACE TO FACE INTERVIEW IS REQUIRED – Locals Needed

Contract

No opt//cpt

 

Mandate skills : 8+ years of Data Architecture experience.  Snowflake Architecture, Snowpark, Streams & Tasks, SQL, Data Modeling, ETL/ELT, Cloud (AWS/Azure/GCP), Data Governance & Security, Data Warehousing, Performance Optimization  

 

 

JOB DESCRIPTION:           

Key Responsibilities

• Lead end-to-end data architecture and solution design for Snowflake-based data platforms, including logical/physical data models, ingestion patterns (batch, streaming, Snowpipe), storage layers (raw, curated, consumption/semantic), and consumption patterns for analytics, BI, and AI/ML.

• Design and optimize scalable, high-performance data warehouses, data lakes, and lakehouse architectures on Snowflake, focusing on performance tuning, query optimization, cost management, workload/warehouse strategies, and auto-scaling.

• Architect and implement AI-powered solutions using Snowflake Cortex, including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics, Document AI, and integration with external LLMs (e.g., for fine-tuning, agents, and multimodal data processing).

• Define and enforce data governance, security, and compliance frameworks (RBAC, row/column access policies, dynamic data masking, encryption, secure data sharing, and private listings).

• Design data pipelines integrating with various sources (on-prem, cloud, SaaS) and orchestration tools; implement real-time capabilities using Streams, Tasks, and Snowpark (Python/Scala/Java).

• Collaborate with data engineers, analysts, scientists, and business stakeholders to deliver governed, reusable data products that accelerate analytics and AI initiatives.

• Provide technical leadership in migrations to Snowflake from legacy systems (e.g., on-prem warehouses, other clouds) and establish reference architectures, patterns, and standards.

• Monitor platform health, optimize for cost/performance, and implement disaster recovery, replication, and high-availability strategies.

• Mentor junior architects and engineers; conduct design reviews and promote best practices in data modeling (e.g., Data Vault, Kimball, or hybrid), semantic modeling, and AI-ready data foundations.

 

Required Qualifications

• 8+ years of experience in data architecture, data engineering, or data platform roles, with at least 4+ years specifically designing and optimizing solutions on Snowflake.

• Deep expertise in Snowflake features: warehouses, resource monitors, zero-copy cloning, Time Travel, data sharing, Snowpark, Tasks/Streams, and security/governance controls.

• Strong proficiency in SQL, data modeling (conceptual, logical, physical), ETL/ELT patterns, and cloud data platforms (AWS, Azure, or GCP).

• Proven experience designing secure, scalable architectures for analytics, reporting, and machine learning workloads.

• Solid understanding of data governance, quality, lineage, and compliance (e.g., GDPR, SOC2, HIPAA if applicable).

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

• Excellent communication, stakeholder management, and leadership skills.

 

Preferred Skills and Experience

• Hands-on experience with Snowflake Cortex AI capabilities (Cortex Search, Cortex Analyst, LLM functions, vector embeddings, RAG patterns, and building AI agents or applications within Snowflake).

• SnowPro Core, Advanced, or Architect certification(s).

• Experience with modern data stack tools: dbt, Airflow, Kafka, Spark, Fivetran, Matillion, or similar.

• Knowledge of AI/ML workflows, vector databases, semantic search, and integrating structured/unstructured data for generative AI.

• Background in Data Vault 2.0, dimensional modeling, or domain-driven design.

• Experience in regulated industries (finance, healthcare, pharma) or large-scale enterprise environments is a plus.

 

Regards

Pavan

VDart Inc

 

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

Confidentiality Notice

 

The information contained in this message may be privileged and confidential and protected from disclosure. If the reader of this message is not the intended recipient, or an employee or agent responsible for delivering this message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please notify us immediately by replying to the message and deleting it from your computer.

 

 

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[xrecnet] FullStack Engineer (AWS AI) WITH gen AI ,, AWS Location: Malvern PA (Hybrid)

Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

 

 

 

 FullStack  Engineer (AWS AI)  WITH gen AI ,, AWS  

Location:       Malvern PA (Hybrid)  

Contract

NO OPT/CPT

 

JOB DESCRIPTION:

"We are seeking a Full‑Stack AWS AI Engineer (5+ Years) to design, build, and scale cloud‑native, AI‑powered applications on AWS. This role blends front‑end and back‑end engineering, machine learning / GenAI integration, and AWS cloud architecture, with strong emphasis on security, scalability, and production readiness. The engineer will work closely with product, data science, and platform teams to operationalize AI capabilities into real‑world applications.

 

Key Responsibilities

 

Agentic & GenAI

 

• Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate).
• Integrate foundation models / LLMs into applications using Bedrock or custom model endpoints.
• Build AI pipelines for inference, prompt orchestration, fine‑tuning, and evaluation.
• Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.

 

AWS Cloud Architecture & DevOps

 

• Architect and deploy cloud‑native solutions using AWS core services:
• EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, Step Functions.
• Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.
• Design CI/CD pipelines leveraging GitHub Actions, AWS CodePipeline, or similar tools.
• Optimize performance, availability, and cost using AWS Well‑Architected Framework principles.

 

Security, Compliance & Operations

 

• Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).
• Implement monitoring, logging, and alerting using CloudWatch, X‑Ray, and OpenSearch.
• Support compliance requirements (SOC2, ISO, financial services governance where applicable).
• Participate in production support, troubleshooting, and performance tuning.

 

Required Qualifications

 

Technical Skills

 

• Strong experience in full‑stack development (front‑end + back‑end).
• Hands‑on expertise with AWS services and cloud‑native architectures.
• Practical experience building or integrating Agentic or Generative AI solutions.
• Proficiency in at least one backend language (Python preferred).
• Experience with REST APIs, microservices, and asynchronous processing.
• Familiarity with containerization (Docker) and orchestration (ECS/EKS).

 

Engineering & Delivery

 

• Experience building production‑grade systems, not just prototypes.
• Strong understanding of software design patterns, scalability, and resilience.
• Ability to translate business problems into technical AI solutions.
• Experience working in Agile / DevOps teams."

 

 

Regards

Pavan

VDart Inc

 

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

Confidentiality Notice

 

The information contained in this message may be privileged and confidential and protected from disclosure. If the reader of this message is not the intended recipient, or an employee or agent responsible for delivering this message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please notify us immediately by replying to the message and deleting it from your computer.

 

 

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[xrecnet] Full-Stack AI Engineer / AWS GenAI Developer / AWS Full-Stack Engineer / AI Solutions Engineer / Cloud Application Engineer (AI/ML)@Malvern PA (Hybrid)- Locals preferred

  

  Please submit only who can share stamped visa copy , i94 with travel history , local id proof , genuine documents.

plse dont share transfer cases or edited documents only genuine consultants plse.

 

 Role Name:   FullStack  Engineer (AWS AI)

Location:       Malvern PA (Hybrid)- Locals preferred   

Contract

 No opt/cpt

$55-60/hr

   Possible Job Titles: Full-Stack AI Engineer / AWS GenAI Developer / AWS Full-Stack Engineer / AI Solutions Engineer / Cloud Application Engineer (AI/ML)

 

  Mandatory Skills: 9+ years of Full-Stack development (Python preferred), AWS GenAI/Agentic AI services (Bedrock, SageMaker), Cloud Architecture (Lambda, ECS/EKS, API Gateway, DynamoDB), Infrastructure as Code (Terraform/CDK/CloudFormation), and CI/CD with Docker.

 

 

JOB DESCRIPTION:

"We are seeking a Full‑Stack AWS AI Engineer (9+ Years) to design, build, and scale cloud‑native, AI‑powered applications on AWS. This role blends front‑end and back‑end engineering, machine learning / GenAI integration, and AWS cloud architecture, with strong emphasis on security, scalability, and production readiness. The engineer will work closely with product, data science, and platform teams to operationalize AI capabilities into real‑world applications.

 

Key Responsibilities

 

Agentic & GenAI

 

• Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate).
• Integrate foundation models / LLMs into applications using Bedrock or custom model endpoints.
• Build AI pipelines for inference, prompt orchestration, fine‑tuning, and evaluation.
• Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.

 

AWS Cloud Architecture & DevOps

 

• Architect and deploy cloud‑native solutions using AWS core services:
• EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, Step Functions.
• Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.
• Design CI/CD pipelines leveraging GitHub Actions, AWS CodePipeline, or similar tools.
• Optimize performance, availability, and cost using AWS Well‑Architected Framework principles.

 

Security, Compliance & Operations

 

• Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).
• Implement monitoring, logging, and alerting using CloudWatch, X‑Ray, and OpenSearch.
• Support compliance requirements (SOC2, ISO, financial services governance where applicable).
• Participate in production support, troubleshooting, and performance tuning.

 

Required Qualifications

 

Technical Skills

 

• Strong experience in full‑stack development (front‑end + back‑end).
• Hands‑on expertise with AWS services and cloud‑native architectures.
• Practical experience building or integrating Agentic or Generative AI solutions.
• Proficiency in at least one backend language (Python preferred).
• Experience with REST APIs, microservices, and asynchronous processing.
• Familiarity with containerization (Docker) and orchestration (ECS/EKS).

 

Engineering & Delivery

 

• Experience building production‑grade systems, not just prototypes.
• Strong understanding of software design patterns, scalability, and resilience.
• Ability to translate business problems into technical AI solutions.
• Experience working in Agile / DevOps teams."

 

 

Regards

Pavan

VDart Inc

 

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

Confidentiality Notice

 

The information contained in this message may be privileged and confidential and protected from disclosure. If the reader of this message is not the intended recipient, or an employee or agent responsible for delivering this message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please notify us immediately by replying to the message and deleting it from your computer.

 

 

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