Role: SAP Business Data Cloud (BDC)
Location: Pennsylvania- onsite
Duration: 6-12+ Months C2H
Mode: Video
Key Responsibilities
- Design & Implementation: Lead the design, configuration, and deployment of SAP Business Data Cloud solutions.
- Integration: Connect SAP source systems (S/4HANA, ECC, BW/4HANA) and non-SAP platforms to BDC.
- Data Governance: Set up data products, semantic layers, and governance frameworks.
- Analytics Enablement: Integrate with SAP Analytics Cloud, SAP Datasphere, and external tools like Databricks Unity Catalog.
- Optimization: Monitor performance, troubleshoot data flows, and optimize pipelines.
- Compliance: Ensure adherence to corporate data governance, privacy, and security policies.
- Mentorship: Train junior consultants and guide teams on BDC best practices.
Required Skills & Qualifications
- Experience: 5–10 years in SAP data management, BW/BI, or integration solutions.
- Technical Expertise:
- Data modeling, ETL/ELT pipelines, federated queries.
- SQL, metadata management, data virtualization.
- SAP BTP services, APIs, CDS Views, cloud connectors.
- Integration Knowledge: Hands-on with SAP S/4HANA, SAP MDG, SAP Analytics Cloud.
- Cloud Exposure: Familiarity with Azure, AWS, or GCP in SAP contexts.
- Certifications: SAP Datasphere / Business Data Cloud certifications preferred.
- Soft Skills: Strong analytical, problem-solving, and communication skills; client-facing experience.
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Role: TDM Consultant
Location: New Jersey onsite
Duration: 6-12+ Months C2H
Mode: Video
Key Responsibilities
- Project Delivery Oversight
- Manage end-to-end delivery of technical projects (planning, execution, deployment).
- Ensure projects meet scope, timeline, and budget requirements.
- Identify and mitigate risks, dependencies, and bottlenecks.
- Technical Leadership
- Provide architectural guidance and approve technology stack decisions.
- Ensure compliance with security and regulatory standards.
- Optimize workflows for scalability and reliability.
- Team Management
- Lead, mentor, and coach engineering teams.
- Conduct performance reviews and career development planning.
- Drive cross-functional collaboration with product managers, designers, and clients.
- Stakeholder Communication
- Act as the primary point of contact between technical teams and business stakeholders.
- Translate business goals into technical execution plans.
- Maintain transparency on progress, risks, and outcomes.
Required Skills & Qualifications
- Experience: 8-10 years in IT delivery, consulting, or engineering leadership.
- Technical Expertise: Strong foundation in software development, cloud infrastructure, APIs, and integration.
- Project Management: Proficiency in Agile, Scrum, or Waterfall methodologies; tools like Jira, Confluence, MS Project.
- Leadership Skills: Proven ability to manage large teams and critical customer situations.
- Soft Skills: Excellent communication, stakeholder management, and problem-solving abilities.
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Playwright Tester
New Jersey- onsite
Duration: 6-12+ Months C2H
Key Responsibilities
- Automation Framework Development
- Design, build, and maintain Playwright-based UI automation frameworks (JavaScript/TypeScript).
- Develop reusable test scripts for UI and API layers.
- Implement mocking, contract testing, and parallel execution.
- Test Strategy & Execution
- Create test plans, strategies, and suites across functional and regression testing.
- Execute automated tests and analyze results to ensure product quality.
- Integrate Playwright tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
- Collaboration & Quality Advocacy
- Work closely with developers, product owners, and QA teams in Agile environments.
- Champion shift-left testing practices and quality metrics.
- Provide feedback on design and architecture from a testing perspective.
Required Skills & Qualifications
- Experience: 3–8 years in QA/test automation, with at least 1–2 years hands-on Playwright experience.
- Technical Skills:
- Proficiency in JavaScript/TypeScript.
- Familiarity with API testing tools (Postman, REST-assured).
- Knowledge of CI/CD, Git, and containerized test runners.
- Nice to Have: Selenium, Cypress, Python automation, BDD frameworks (Cucumber).
- Soft Skills: Strong analytical ability, attention to detail, and collaborative mindset.
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AI Architect
Location: Multiple Locations- onsite
6-12+ Months C2H
Key Responsibilities
- Strategic Planning
- Define AI strategy aligned with organizational goals.
- Identify opportunities where AI can drive efficiency, innovation, or competitive advantage.
- System Design & Implementation
- Architect scalable, secure, and efficient AI systems.
- Select appropriate ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
- Build AI infrastructure capable of handling large datasets.
- Collaboration
- Work closely with data scientists, ML engineers, and business stakeholders.
- Translate complex functional requirements into detailed technical designs.
- Optimization & Evaluation
- Continuously assess AI models for accuracy and performance.
- Improve algorithms and retrain models as needed.
- Establish automated pipelines for model development, validation, and deployment.
Required Skills & Qualifications
- Experience: 8–15 years in software engineering, data science, or AI/ML roles.
- Technical Skills:
- Strong programming (Python, Java, C++).
- Expertise in ML/DL algorithms, NLP, computer vision, and reinforcement learning.
- Cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Data engineering tools (Spark, Hadoop, SQL/NoSQL databases).
- Soft Skills: Strategic thinking, stakeholder management, leadership, and communication.
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C3.AI Studio
Multiple Locations- onsite
6-12+ Months C2H
Key Responsibilities
- Application Development
- Build and deploy AI applications using C3 AI Studio and the C3 Agentic AI Platform.
- Develop full-stack solutions (front-end + back-end) for enterprise AI use cases.
- Implement AI/ML models for predictive analytics, optimization, and automation.
- Data Integration
- Connect disparate enterprise data sources (ERP, CRM, IoT, cloud systems).
- Design pipelines for ingestion, transformation, and governance of large datasets.
- AI/ML Engineering
- Collaborate with data scientists to operationalize ML/DL models.
- Optimize model performance and scalability across cloud environments (AWS, Azure, GCP).
- Collaboration & Delivery
- Work with product managers, solution engineers, and industry experts to tailor AI solutions.
- Ensure applications meet compliance, security, and performance standards.
Required Skills & Qualifications
- Experience: 5–10 years in software engineering, data engineering, or AI/ML roles.
- Technical Skills:
- Strong programming (Python, Java, TypeScript/JavaScript).
- Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Cloud-native development (Docker, Kubernetes, CI/CD pipelines).
- Data modeling, SQL/NoSQL databases, and API integration.
Best Regards,
Navneet Jha
D : 848-999-0314 | Email: navneet.jha@siriinfoinc.com
Siri InfoSolutions Inc, 3 Ethel Rd, Suite # 302, Edison NJ 08817.
