11+ Project portfolio management Jobs in Hyderabad | Project portfolio management Job openings in Hyderabad

Communication - Excellent communication, presentation, and negotiation skills

Role: Application Developer Role Description: Design, build and configure applications to meet business process and application requirements. 

Must have Skills: Oracle Project Portfolio Management Cloud, Oracle Fusion PPM Cloud, Project Fundamentals Cloud

Good to Have Skills: Oracle Financials, Grants 

Job Requirements: 1: Responsibilities: 

a: All tasks related to configurations, data import, data export and 

customizations of Oracle PPM Cloud Project Fundamentals, Projects Costing, Projects Billing, Project Accounting 

b: Consultant is responsible for gathering and analyzing business requirements. 

c: Consultant may have to interact with the clients to better understand the product requirements or in case the design requires any kind of modifications. 

d: Experience in analysis of source data in data migrations and report the same and able to create test plans based on analysis. 

e: Experience and demonstrated proficiency with QA methodology, process, and deliverables. 

2: Professional Experience:

a: Must have 4-7 years Cloud PPM experience/2 to 3 end to end implementation experience. 

b: Should be strong on Oracle Project Accounting Project Costing, Project Billing Project Management under cloud environment. 

c: Strong understanding of Projects functional flows 

Good knowledge of PL/SQL for data querying & analysis 

Title: Salesforce Solution Architect (Classic to Lightning Migration)

Summary:

We are seeking a Salesforce Solution Architect to lead AvalonBay’s transition from Salesforce Classic to Lightning. This role is responsible for designing scalable, user-friendly solutions using native Salesforce capabilities, reducing custom technical debt, and enabling a unified associate experience across resident services and call center teams.

Key Responsibilities:

● Own the end-to-end migration strategy from Classic to Lightning.

● Redesign data model (replace custom objects with standard Lead/Opportunity where

applicable).

● Configure Lightning features: Dynamic Forms, Lightning Pages, Flows, Omni-Channel.

● Recommend and implement AppExchange solutions where needed.

● Collaborate with developers, admins, and QA to deliver incremental releases.

● Ensure compliance with security, profiles, and permission sets.

● Act as the trusted advisor to stakeholders for Salesforce roadmap planning.

Qualifications:

● 6+ years Salesforce experience, with at least 3+ in Lightning implementations.

● Expertise in Service Cloud, Marketing Cloud, case management, and digital engagement.

● Proven experience with Classic-to-Lightning migration projects.

● Strong understanding of low-code/no-code capabilities (Flows, Dynamic Actions).

● Salesforce Certified Application/Solution Architect (preferred).

● Excellent communication and stakeholder management skills.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

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.

We are looking for Freelance Talent Acquisition (TA) professionals to support our hiring requirements on a contract / project basis. The selected freelancer will work closely with hiring managers to manage end-to-end recruitment and ensure timely closure of open positions.

Roles & Responsibilities:

• Understand hiring requirements, role specifications, and timelines in coordination with hiring managers
• Manage end-to-end recruitment for assigned positions on a freelance basis
• Source candidates through job portals, LinkedIn, referrals, databases, and social media platforms
• Screen resumes and conduct initial telephonic or video interviews
• Coordinate interviews between candidates and internal stakeholders
• Maintain a strong candidate pipeline and ensure a positive candidate experience
• Share regular hiring updates, trackers, and recruitment reports
• Support negotiations, and documentation wherever required
• Ensure adherence to hiring guidelines, confidentiality, and data protection norms
• Handle bulk, lateral, or niche hiring as per project requirements

The Installation Technician is responsible for on-site installation, assembly, and fitting of company products (such as wardrobes, kitchens, furniture, fixtures, or equipment) as per design specifications and quality standards. The role ensures timely completion of installations while maintaining safety and customer satisfaction.

Key Responsibilities:

· Carry out installation, assembly, and fitting of products (wardrobes, kitchens, sliding doors, fixtures, etc.) at customer sites.

· Read and interpret layout drawings, installation plans, and design specifications.

· Ensure all installations are completed as per company standards, within the given timelines.

· Conduct pre-installation checks, including site measurements and readiness verification.

· Handle tools, materials, and equipment responsibly and ensure proper maintenance.

· Coordinate with the project manager, designer, and client for smooth execution.

· Perform finishing work such as adjustments, alignment, and final inspection.

· Report any site issues, damages, or delays immediately to the supervisor.

· Follow all safety protocols and ensure a clean and organized work area.

· Provide on-site service support and rectify installation-related issues if required.

Skills

Position : QA/Test engineer -Cypress

Location:Hyderabad/bangalore/pune

Experience: 5+

Mode: Hybrid

Job Description:

• looking for someone to be responsible for the quality of the product, which would include both manual and automated testing of our web and mobile products.
•  Experience using Javascript/Typescript test frameworks is recommended. 
• Experience with load/performance testing is definitely a plus, but we would also take someone with only functional testing experience
• Should have experience in Mobile testing
• Should have real time experience in Downloading/Installing a new Build and test Latest version of the game
• Functional testing
• Automation Selenium with Java
• Postman API Testing and RestAssured API Automation
• Agile Methodology

right candidates in right place

candidates should we in sales back ground

having filed experience to

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.

REQUIREMENTS:

• 16+ years of experience in designing and developing technology solutions using a variety of platforms, languages, and tools, with at least 5+ years of software architecture experience
• Strong background into Devops, Azure, Java, .NET, all mobile, web and backend solutions
• Ability to think breakthroughs by leveraging new age technologies and a deep understanding of the client’s business and the industry they operate in 
• Ability to lead by example by picking up coding of complex functionalities when required
• Strong understanding of technology and the ability to deep dive into a technology problem
• Ability to influence key client stakeholders on their technology and operations strategy
• Vast experience in owning delivery of complex technology solutions for global clients
• Ability to multitask and own multiple technology tracks simultaneously in a globally distributed delivery setup
• Experience in creating cutting edge technology solution by collaborating with other world class technologists 
• Balanced approach that aligns technology-based solutions with customer needs
• Visible thought leadership through technology blogs, whitepapers, presentations etc. 
• Fluent verbal and written language skills and ability to convey a message in a simple and structured manner, customized to the audience and to the mode of communication

RESPONSIBILITIES:

• Owning the technology health of the project / account on all key metrics 
• Ensuring projects / accounts meet technical standards of governance, technology standards and best practices
• Owning the long term as well as the short-term technology strategy of your project / account
• Identifying opportunities in the current engagement to cross sell or up sell Nagarro’s offerings  
• Conceptualizing and owning the technical architecture and design of the projects you are influencing
• Harnessing your consulting skills in a culture that promotes opportunities to provide thought leadership and breakthrough solutions for our clients.
• Running workshops internally and with customers on technology and business topics to create new solution areas and use cases
• Communicating and driving adoption of organizational technology initiatives in your account
• Mentoring and managing team members, by giving constant on-the-job feedback, and by providing guidance
• If you are aligned with a Center of Excellence (CoE) or practice –
• Defining the vision for the practice/CoE, creating plan/budget for the practice