Opening for Data Engineer_Wissen Technology

Job Title : Oracle Technical/Integration Consultant

Experience : 5 to 10 Years

Location : Embassy Golf Links, Bengaluru

Work Mode : Hybrid – 3 Days in Office

Notice Period : Immediate to 15 Days

Job Overview :

We are seeking an experienced Oracle Technical/Integration Consultant to lead the design, development, and management of integrations between Oracle Fusion Cloud and enterprise systems in the e-commerce domain.

This role plays a vital part in enabling seamless financial operations and driving system transformation by implementing robust integration strategies using Oracle Integration Cloud (OIC).

Mandatory Skills :

Oracle Fusion Cloud, Oracle Integration Cloud (OIC), integration with OMS/WMS/TMS, REST/SOAP APIs, enterprise systems integration, and financial transformation experience.

Key Responsibilities :

• Design and build integrations between Oracle Fusion Cloud and systems such as OMS, WMS, TMS, CRM, payment gateways, and e-commerce platforms.
• Develop and manage solutions using Oracle Integration Cloud (OIC) and tools like Oracle SOA Suite, API Gateway, and Web Services (REST/SOAP).
• Define integration architectures for efficient and secure data flow across enterprise applications.
• Collaborate with business and IT stakeholders to gather integration requirements and align them with retail business goals.
• Support and lead financial transformation initiatives through optimized system integration strategies.
• Troubleshoot integration issues and ensure high availability, performance, and scalability.
• Implement best practices for middleware and API-based solutions within high-volume transaction environments.
• Ensure adherence to data security, governance, and compliance standards.
• Work in an Agile/Scrum development setup with cross-functional teams.

Required Qualifications :

• 5 to 10 years of experience in integrating Oracle Fusion Cloud with enterprise systems.
• Strong hands-on expertise in Oracle Integration Cloud (OIC) and associated tools (SOA Suite, API Gateway, REST/SOAP).
• Proven experience integrating OMS, WMS, TMS, and other eCommerce applications with Oracle ERP.
• Solid understanding of data flow, middleware integration, and system performance optimization.
• Track record of working on financial transformation projects in large-scale environments.
• Experience with Fusion ERP modules – Finance, Procurement, Supply Chain, etc.
• Strong knowledge of BPEL, ICS, PaaS, and Oracle Cloud Infrastructure (OCI).
• Excellent analytical, troubleshooting, and communication skills.

Preferred Qualifications :

• Oracle certifications in OIC, ERP, or SOA Suite.
• Experience with FBDI, ADFDI, BI Publisher, and data load tools.
• Exposure to event-driven architecture, microservices, and Oracle Visual Builder.
• Prior experience integrating Oracle Fusion with platforms like Shopify, Magento, Salesforce Commerce Cloud, etc.

Interview Process :

1. Round 1 : 30-minute online technical interview
2. Round 2 : Face-to-face interview (Bangalore office)

Additional Notes :

• Candidates with product-based or highly stable professional backgrounds are preferred.
• Strong interpersonal and communication skills are essential due to cross-functional stakeholder engagement.
• This is a strategic technical role crucial to large-scale enterprise and financial transformation.

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

REQUIRED SKILLS/COMPETENCIES:

Programming Languages:

• Strong in Python, data structures, and algorithms.
• Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks:

• Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques:

• Proficiency with PyTorch or TensorFlow/Keras
• Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
• Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG:

• Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
• Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
• Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools:

• SQL fundamentals; exposure to data wrangling and pipelines.
• Git/GitHub, Jupyter, basic Docker.

WHAT ARE WE LOOKING FOR?

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

MINIMUM QUALIFICATIONS:

• Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

MUST-HAVES:

• Education/qualification:  Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

• Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years

• Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing

• 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras

• Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)

QUESTIONNAIRE: 

Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:

Do you have experience with PyTorch or TensorFlow / Keras?

• PyTorch
• TensorFlow / Keras
• Both

How many years of experience do you have with PyTorch or TensorFlow / Keras?

• Less than 3 years
• 3 to 3.5 years
• 3.5 to 4 years
• More than 4 years

Is the candidate willing to relocate to Chennai?

• Ready to relocate
• Based in Chennai

What type of company have you worked for in your career?

• Service-based IT company
• Product company
• Semiconductor company
• Hardware manufacturing company
• None of the above

Key Responsibilities:

Market Research & Analysis:

• Conduct demographic analysis to identify potential high-traffic areas.

• Analyze foot traffic patterns, competition, and consumer behavior in various

locations.

• Utilize data analytics tools to assess the profitability of potential locations.

Location Scouting:

• Visit and inspect potential locations such as large office buildings, corporate parks,

IT/ITES Parks, universities etc.

• Identify areas within location where vending machines can meet consumer and

brand needs.

• Assess the accessibility, security, and visibility of proposed locations.

Negotiation & Relationship Management:

• Negotiate placement agreements with facility managers.

• Build and maintain relationships with site owners to secure long-term contracts.

• Collaborate with legal and compliance teams to finalize agreements.

Compliance & Permits:

• Ensure all placements comply with local regulations and zoning laws.

• Obtain necessary permits and licenses for vending machine installation.

Reporting & Optimization:

• Provide regular reports on location performance and market trends.

• Recommend strategies for expansion, optimizing machine placement and

increasing revenue.

Qualifications:

• Strong negotiation and communication skills.

• Analytical mindset with the ability to interpret market data.

Skills:

• Excellent research and analytical skills.

• Strong interpersonal and negotiation abilities.

• Ability to work independently and make informed decisions.

• Familiarity with the vending machine industry and trends is a plus.

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Position: Assistant Professor – Computer Science & Engineering

Qualification: Ph.D. (or pursuing) in Computer Science/Engineering from a recognized institution. Candidates with strong academic/industry background may also be considered.

Key Responsibilities

• Teaching: Deliver lectures, tutorials, and labs at UG/PG levels in core CSE subjects (e.g., Algorithms, Data Structures, AI, Cloud Computing, Full Stack Development).
• Research: Conduct independent and collaborative research; publish in reputed journals/conferences.
• Curriculum Development: Design and update course content aligned with industry and academic standards.
• Student Mentorship: Guide students in projects, internships, and career development.
• Academic Administration: Participate in examinations, evaluations, and departmental activities.
• Industry & Outreach: Build collaborations with industry, contribute to consultancy, training, and placements.

Desired Skills

• Expertise in programming languages (Java, Python, C++), data analytics, AI/ML, cloud computing, or related domains.
• Strong communication and mentoring abilities.
• Commitment to academic excellence and institutional growth.

Interested Candidates can apply on below link : https://idreamcareer.keka.com/careers/jobdetails/79881

We are looking for a dynamic and driven Sales & Operations Manager to lead both pre- and post-sales processes for our Counselling as a Service (CaaS) business line. This role is pivotal in ensuring seamless coordination between clients, internal teams, and our career counselors' community. You will act as the bridge between sales execution, operational delivery, and client success.

Key Responsibilities

🔹 CaaS Sales (Pre-Sales & Closures):

• Drive end-to-end sales cycles – from client engagement, need identification, proposal creation to closure

• Collaborate with the Business Development team to convert qualified leads into long-term partnerships

• Understand client objectives and map offerings to deliver tailored career guidance solutions

🔹 CaaS Post-Sales Operations:

• Lead client onboarding and post-sales documentation

• Coordinate deployment of career guidance product for individual counsellors

• Monitor program delivery, timelines, and quality of service

🔹 Tech & Cross-functional Liaison:

• Coordinate with the tech team for deployment, issue resolution, and feature feedback

• Act as the SPOC between client expectations and internal teams (content, tech, counselor engagement)

🔹 Counselor Engagement:

• Work closely with the Community Manager to onboard, brief, and align counselors for specific client engagements

• Track counselor performance, share feedback loops, and build a culture of responsiveness.

What We’re Looking For

• 2-4 years of experience in B2B/B2C Sales and Operations roles, preferably in edtech or services industries

• Strong project management and multi-stakeholder coordination skills

• Excellent communication and presentation skills

• Ability to work in a fast-paced, outcome-oriented environment

• Experience with CRM tools, Excel/Sheets, and basic tech ticketing systems

Nice to Have

• Exposure to career guidance, education, or school/college ecosystem

• Prior experience managing freelance/contractual teams or communities

Why Join Us?

At iDreamCareer, you’ll be part of a mission to democratize career guidance for millions. This role gives you an opportunity to shape the future of career decisions by blending data, technology, and human empathy.