11+ Siebel CRM Jobs in Hyderabad | Siebel CRM Job openings in Hyderabad

Position Summary:

As a CRM ETL Developer, you will be responsible for the analysis, transformation, and integration of data from legacy and external systems into CRM application. This includes developing ETL/ELT workflows, ensuring data quality through cleansing and survivorship rules, and supporting daily production loads. You will work in an Agile environment and play a vital role in building scalable, high-quality data integration solutions.

Key Responsibilities:

• Analyze data from legacy and external systems; develop ETL/ELT pipelines to ingest and process data.
• Cleanse, transform, and apply survivorship rules before loading into the CRM platform.
• Monitor, support, and troubleshoot production data loads (Tier 1 & Tier 2 support).
• Contribute to solution design, development, integration, and scaling of new/existing systems.
• Promote and implement best practices in data integration, performance tuning, and Agile development.
• Lead or support design reviews, technical documentation, and mentoring of junior developers.
• Collaborate with business analysts, QA, and cross-functional teams to resolve defects and clarify requirements.
• Deliver working solutions via quick POCs or prototypes for business scenarios.

Technical Skills:

• ETL/ELT Tools: 5+ years of hands-on experience in ETL processes using Siebel EIM.
• Programming & Databases: Strong SQL & PL/SQL development; experience with Oracle and/or SQL Server.
• Data Integration: Proven experience in integrating disparate data systems.
• Data Modelling: Good understanding of relational, dimensional modelling, and data warehousing concepts.
• Performance Tuning: Skilled in application and SQL query performance optimization.
• CRM Systems: Familiarity with Siebel CRM, Siebel Data Model, and Oracle SOA Suite is a plus.
• DevOps & Agile: Strong knowledge of DevOps pipelines and Agile methodologies.
• Documentation: Ability to write clear technical design documents and test cases.

Soft Skills & Attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Experience working with cross-functional, globally distributed teams.
• Proactive mindset and eagerness to learn new technologies.
• Detail-oriented with a focus on reliability and accuracy.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Experience in Tier 1 & Tier 2 application support roles.
• Exposure to real-time data integration systems is an advantage.

Job Description

We are looking for an experienced Azure Synapse Data Engineer with strong hands-on expertise in Azure data engineering, data warehousing, ETL/ELT, and SQL performance optimization.

Key Responsibilities

• Design, develop, and optimize solutions using Azure Synapse Analytics.
• Build and maintain data integration pipelines using Azure Data Factory (ADF) and Synapse Pipelines.
• Design and implement scalable Azure Data Lake Storage Gen2 (ADLS Gen2) architectures.
• Develop robust and high-performance ETL/ELT frameworks for enterprise data platforms.
• Monitor and troubleshoot large-scale data ingestion, transformation, and processing workloads.
• Identify and resolve performance bottlenecks across data movement and transformation processes.
• Ensure data quality, availability, reliability, and consistency across analytics platforms.
• Perform advanced SQL query analysis and optimization.
• Analyze execution plans and optimize complex analytical workloads.
• Configure and tune Synapse Dedicated SQL Pools.
• Design efficient partitioning strategies for large datasets.
• Optimize indexing, statistics, and workload distribution to improve query performance.

Mandatory Skills

• Azure Synapse Analytics
• Azure Data Factory (ADF)
• Synapse Pipelines
• ADLS Gen2
• ETL/ELT
• Strong SQL
• Synapse Dedicated SQL Pool
• SQL query/execution plan optimization
• Partitioning, indexing, and statistics
• Azure data warehouse / data lake architecture
• Performance tuning and troubleshooting

Ideal Candidate

A strong Azure Data Engineer with hands-on experience in Synapse + ADF + ADLS Gen2 + Advanced SQL + Dedicated SQL Pool performance tuning.

Seeking a detail-oriented Estimator with experience in exterior windows, doors,and storefront systems. The ideal candidate will be skilled in reading architectural drawings, performing accurate quantity takeoffs, and preparing precise cost estimates. Proficiency in AutoCAD

and Excel is required, along with familiarity with OST (On-Screen Takeoff) and Bluebeam. Knowledge of Revit is a plus.

Key Responsibilities:

• Review architectural and structural drawings and specifications to prepare detailed cost estimates for glazing, windows, doors, and storefront systems.

• Perform quantity takeoffs and develop material and labor cost breakdowns.

• Use AutoCAD to interpret design details and confirm quantities and dimensions.

• Utilize Excel, OST, and Bluebeam to organize takeoffs, calculate costs, and prepare bid proposals.

• Coordinate with vendors and subcontractors to obtain and verify pricing.

• Support project managers and design teams during preconstruction and project handoff.

• Maintain organized estimate documentation and historical cost data.

Qualifications:

• Education: Bachelor’s degree in Construction Management, Engineering, Architecture, or related field (or equivalent experience).

• Experience: 2–3 years of estimating experience in commercial glazing, façade, or exterior systems.

• Technical Skills:

o Proficient in AutoCAD and Microsoft Excel (formulas, data organization, and reporting).

o Skilled in reading and interpreting architectural and structural drawings.

o Experience with On-Screen Takeoff (OST) and Bluebeam Revu.

o Familiarity with Revit (preferred).

o Strong analytical and mathematical skills.

o Excellent attention to detail and organizational abilities.

o Ability to work both independently and collaboratively in a fast-paced environment.

Preferred Attributes:

• Knowledge of storefront, curtain wall, window wall, and door systems.

• Understanding of building envelope components and installation methods.

• Ability to manage multiple estimates and meet tight deadlines.

AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. 

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)​​

Responsibilities: 

• Own the full ML lifecycle: model design, training, evaluation, deployment 
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection 
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines 
• Build agentic workflows for reasoning, planning, and decision-making 
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark 
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines 
• Collaborate with product and engineering teams to integrate AI models into business applications 
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices 

Requirements

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production 
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX 
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines 
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration) 
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows 
• Strong software engineering background with experience in testing, version control, and APIs 
• Proven ability to balance innovation with scalable deployment 
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field 
• Bonus: Open-source contributions, GenAI research, or applied systems at scale 

What essential skills do you need?

• Able to demonstrate good technical & problem solving skills
• Possess relevant hands-on experience with developing automation scripts using tools like protractor, selenium, rest assured, cucumber, POM model etc.
• Should be ready to explore, learn and develop solutions for problems

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Dear Candidate,

We are urgently Hiring Java Full stack Leads with React for Bangalore Location.

Position: Technical/Project Lead

Location: Bangalore, Hyderabad

Experience:7-10 yrs

Skills: J2EE/Core java , React

Salary: Best in Industry (20-25% Hike on the current ctc)

Note:

only Immediate to 15 days Joiners will be preferred.

Candidates from Tier 1 companies will only be shortlisted and selected

Candidates' NP more than 30 days will get rejected while screening.

Offer shoppers will be rejected.

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Rigel Networks

Worldwide Locations: USA | HK | IN 

• A minimum of 4-10 years of experience into data integration/orchestration services,  service architecture and providing data driven solutions for client requirements 
• Experience on Microsoft Azure cloud and Snowflake SQL, database query/performance tuning. 
• Experience with Qlik Replicate and Compose tools(Change Data Capture) tools is considered a plus 
• Strong Data warehousing Concepts, ETL tools such as Talend Cloud Data Integration tool is must 
• Exposure to the financial domain knowledge is considered a plus. 
• Cloud Managed Services such as source control code Github, MS Azure/Devops is considered a plus. 
• Prior experience with State Street and Charles River Development ( CRD) considered a plus. 
• Experience in tools such as Visio, PowerPoint, Excel. 
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus. 
• Strong SQL knowledge and debugging skills is a must.

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL