Responsibilities:

• Implemented Big Data platform on Cloudera Hadoop ecosystem, good knowledge of configuring and optimizing Cloudera.
• Enhance and maintain data warehouse implementation.
• Implement analytic solutions and multi-tenant data access patterns.
• Design and implement scalable, secure Azure infrastructure to host our big data analytics platform.
• Provide knowledge of network topology, security groups, and connectivity patterns across multiple Azure regions.

Required Skills and Experience:

• Develop and implement data governance strategies using Apache Ranger/DBT/ZooKeeper.
• Red hat open shift administration.
• Establish and lead a multi-tiered (L1/L2/L3) technical support team for our big data analytics platform consisting of infrastructure and application support engineers.
• Develop comprehensive support processes, procedures, and documentation.
• Create and maintain standard operating procedures (SOPs) for common issues and resolutions.
• Design and implement incident management workflows and escalation paths.

Qualifications:

• 7+ years of industry experience with Support/Admin.
• Cloudera – Must have configured, administered and managed cloudera cluster on production.
• Administration for other big-data tools like Kafka, Nifi, trino, dbt.
• Experience on Azure.

Work Location:
Gurgaon (Hybrid). The candidate will have the flexibility to work on client location.

Responsibilities 

• Account management 
• Function as onsite leader for portfolio of transformational projects across accounts or within an account 
• Accountable for interfacing with both business and IT function(s) in multistakeholder environment.   
• Strategic Thinking & Planning 
• Develop and maintain an account growth plan or roadmap. 
• Track performance against KPIs (e.g., revenue growth, CSAT, NPS).  
• Align with client’s long-term roadmap. 
• Coordination and Governance 
• Work closely with delivery, pre-sales, technical architects, and marketing. 
• Along with the offshore delivery partner, should be responsible for monitoring budgets, billing, and renewals. 
• Periodic review of monthly / quarterly targets for revenue. 
• Govern the projects to achieving milestones, and take timely recourse where required 
• Consultative Selling 
• Recommend relevant solutions, upgrades, or services. 
• Identifying new opportunities, expanding relationships, and increasing revenue 
• Frame conversations around value and outcome for upsell and cross sell. 
• Perform SWOT analysis or create account heatmaps. 
• Classify leads using BANT (Budget, Authority, Need, Timeline) or similar frameworks. 

  Necessary skill sets 

• Subject matter understanding and business acumen 
• Ability to rapidly ramp-up on the understanding of Account and functional jargon at a sufficient level for communication and stakeholder management 
• Ability to map business problems to IT solutions. 
• Ability to leverage industry learnings and domain depth from project and apply this knowledge to other accounts / pre-sales efforts across the company 
• Client Relationship management 
• Multi-level client relationship management. 
• Understand the client’s business goals and how IT solutions can support them. 
• Account leadership 
• Understanding of client unique context and constraints, and ensure appropriate project execution design  
• Ability to decipher client’s org structure, decision-makers, and budget cycles. 

 Requirements and Qualifications

•  Bachelor’s degree in sales, communications, or related field. 
• 10+ years of experience in account management 
• Proven leadership experience in a managerial role 
• Demonstrated participation in large-scale projects 
• Experience in the offshore services industry is essential. 
• Knowledge of life sciences industry is a plus 
• Skills in account strategy and planning 
• Expertise in client relationship management 
• Proficiency in business strategy development

Work Location: New Jersey, US

About the role:

We are looking for a detail-oriented technical project/program manager to oversee all project operations from inception to execution. The technical program manager is responsible for maintaining budgets, enforcing deadlines and supervising team members. To be successful as a technical project manager you must be highly organized. A good technical project manager is able to multitask successfully under pressure.

Responsibilities:

• Manage projects with top-down oversight throughout entire execution to ensure success as defined by adherence to standards of scope, budget, and timeline.
• Develop comprehensive project plans that merge customer requirements with company goals and coordinate various managers and technical personnel during all project phases, from initial development through implementation.
• Monitor project progress continuously and make detailed scheduled reports on measurable items, such as milestones and deliverables.
• Communicate proactively with all involved personnel to provide encouragement, identify problems, create solutions, and implement efficiency improvements.
• Analyze economics of project plans and provide actionable feedback relating to cost benefit and return-on-investment standards.
• Review proposed modifications on project plans, including meeting with interested parties to approve and implement beneficial changes.
• Oversee acquisition of resources and materials as needed before and during projects by talking with customers, team members, managers, and in-house accountants and negotiating price and payment agreements with vendors.
• Anticipate details of future projects by communicating directly with customers and staying informed of relevant trends and industry news.

Requirements:

• Bachelor’s degree in engineering, computer science or related field, or equivalent work experience
• Extensive leadership experience and strong teaming abilities
• Excellent problem-solving skills
• Minimum three years management experience in the IT field, including development work and interactions with customers.

Exp:10+ Years

Key Roles & Responsibilities: 

• Strong Data and Big Data skills with experience working on Data projects. 
• Strong data warehousing skills is mandatory. 
• Strong experience in designing, developing Data solutions both on premise and on cloud.
• Must have designed and delivered at least 5 medium Data projects or 2 large Data projects in the last 3 years, one of them has to be on the cloud – AWS using the AWS Data stack.
• Possesses and demonstrates excellent understanding of AWS data services including not restricted to RDS, Redshift, Glue etc.
• Designing, solution and developing projects using traditional ETL tools like Informatica, Talend Nifi etc.
• Big Data tool stack using Spark, Hive, Kafka, Nifi and its likes required.

Requirements 

Required Skills & Experiences: 

• 10+ years of total experience
• Must have working experience of 6 + years on designing and developing Big Data oriented solutions.
• Worked on 1 of the Cloud DWH such as Snowflake, Synapse, Redshift etc.
• Must demonstrate strong consultative skills, be an excellent communicator and be ready to be hands on with solution. 
• Must be a team player and must have handled at least a team of 2-3 Jr Architects 
• Very Technically inclined and must be in touch with the technical and industry trends on AWS and other cloud as well. 
• Sound understanding of Data Governance preferred along with a good understand of MDM (Master Data Management)
   

Job Summary:

We are seeking a highly experienced Data Scientist with a strong foundation in ML/DL, experience in Computer Vision, with affinity towards upcoming technologies like Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate will lead and deploy cutting-edge AI solutions, bridging the gap between intelligent models and scalable backend architectures.

Key Responsibilities:

• Design, develop, and deploy advanced Machine Learning and Deep Learning models for business-critical use cases.
• Build and optimize Computer Vision pipelines using models like YOLO, EfficientNet, or Transformer-based vision architectures.
• Integrate AI models into scalable backend services using Django, Flask, or FastAPI.
• Build robust RESTful APIs and manage data pipelines for AI workflows.
• Collaborate closely with frontend/backend engineers to bring AI features to production.

Required Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• 8+ years of experience in building and deploying ML/DL models (time series, NLP, etc.).
• Proven expertise in Computer Vision (e.g., segmentation, detection, video analysis).
• Proficiency in Python, with frameworks like PyTorch, TensorFlow, OpenCV, and Hugging Face.
• Solid experience in backend frameworks: Django, Flask, or FastAPI, and building APIs for AI model inference.
• Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).
• Exposure to MLOps tools and concepts (e.g., MLflow, Weights & Biases, CI/CD pipelines).

Preferred Skills:

• Knowledge of LLMs (e.g., GPT, LLaMA, Mistral), agentic AI frameworks such as LangChain, AutoGPT is a plus.

Role Overview: We are seeking an experienced and passionate Full Stack Technical Lead to join our dynamic team. This role requires a hands-on leader who can architect, design, and develop robust and scalable full-stack applications, while also guiding and mentoring a team of talented engineers. The ideal candidate will possess a strong blend of technical expertise, problem-solving abilities, and excellent communication skills to interact directly with clients and stakeholders.

Key Responsibilities:

• Technical Leadership & Architecture:
  • Lead the design, development, and implementation of complex full-stack solutions
  • Ensuring adherence to best practices, coding standards, and architectural guidelines.
  • Set up and follow dev-ops process
  • Define and enforce technical standards, and engineering excellence across the development lifecycle.
  • Conduct code reviews, provide constructive feedback, and ensure the delivery of high-quality, maintainable code.
  • Identify and mitigate technical risks, ensuring the scalability, performance, and security of applications.
• Hands-on Development:
  • Develop responsive and user-friendly front-end interfaces using Angular.
  • Build robust, high-performance, and scalable backend services using Python with FastAPI and NodeJS.
  • Integrate with various databases, APIs, and third-party services.
  • Troubleshoot and debug complex technical issues across the full stack.
• Team Collaboration & Mentorship:
  • Mentor and guide junior and mid-level developers.
  • Collaborate effectively with cross-functional teams including product managers, UI/UX designers, QA engineers, and other stakeholders.
  • Contribute to an agile development environment, participating in sprint planning, stand-ups, and retrospectives.
• Customer Facing & Communication:
  • Serve as a primary technical point of contact for clients and stakeholders, effectively communicating technical concepts, progress, and challenges.
  • Gather and analyze client requirements, translating them into technical specifications and actionable development plans.
  • Participate in client discussions, presenting solutions, and providing technical insights.

Must-Have Skills:

• Front-end Expertise: Strong proficiency in Angular , including a deep understanding of components, services, routing, state management, and responsive design.
• Back-end Expertise:
  • Extensive experience with Python development.
  • Proven hands-on experience with FastAPI for building high-performance APIs.
  • Solid understanding of RESTful API design principles and best practices.
• Database Knowledge: Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB).
• Design Patterns: Knowledge of design patterns relevant in modern applications.
• Version Control: Proficient with Git and collaborative development workflows using branching strategies.
• Communication & Client Facing: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated experience in client-facing roles, including requirement clarification, solution presentation and stakeholder management.
• Problem-Solving: Strong analytical and problem-solving skills with a proactive approach to identifying and resolving technical challenges.

Good-to-Have Skills:

• Experience with Node.js for backend development.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• Knowledge of containerization technologies (Docker, Kubernetes) and container deployment on cloud.
• Experience with CI/CD pipelines.
• Understanding of software security principles and practices.
• Familiarity with agile methodologies (Scrum, Kanban).
• Experience in using AI technologies effectively for coding. 

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8-12 years of overall IT experience with a minimum of 3+ years in a technical lead role.

Role Overview

We are seeking a seasoned Full Stack Developer with expertise in building scalable web applications across front-end and back-end technologies. This role demands strong programming fundamentals, practical experience with modern frameworks, and the ability to work across the stack. Experience or exposure to data engineering is a significant advantage, as the role involves working with data-centric systems and analytics platforms.

Key Responsibilities

• Design, develop, and maintain end-to-end application components—front-end UIs and back-end services.
• Implement new features, optimize performance, and ensure code quality and maintainability.
• Build and consume RESTful APIs and integrate with third-party systems.
• Ensure application scalability, performance, and security best practices.
• Collaborate with cross-functional teams (product, design, QA) throughout the development lifecycle.
• Participate in code reviews, and maintain clear technical documentation.

Required Skills

• Strong back-end development using Java, Python, or Node.js.
• Good in front-end development: HTML5, CSS3, JavaScript with React, Angular, or Vue.js.
• Hands-on experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Solid understanding of microservices, RESTful APIs, and web services.
• Familiarity with Git, CI/CD pipelines, and DevOps tools.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, GCP).

Good-to-Have (Data Engineering Advantage)

• Exposure to data engineering practices: ETL pipelines, Kafka, batch/stream processing.
• Familiarity with data lakes and warehouses (Custom-built using Open-source, Snowflake, etc.).
• Experience integrating analytics dashboards or visualization components.
• Understanding of real-time data flow, data pipeline architecture, and basic data modelling.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 6+ years of professional experience in full-stack development across modern tech stacks.
• Proven ability to build and maintain large-scale, production-grade applications.
• Experience working in Agile/Scrum environments.

Role Overview

We are seeking an experienced Data Engineer to build and maintain scalable, high-performance data pipelines and infrastructure for our next-generation data platform. The platform ingests and processes real-time and historical data from diverse industrial sources such as airport systems, sensors, cameras, and APIs. You will work closely with AI/ML engineers, data scientists, and DevOps to enable reliable analytics, forecasting, and anomaly detection use cases.

Key Responsibilities

• Design and implement real-time (Kafka, Spark/Flink) and batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation.
• Develop data models and manage data lakes and warehouses (Delta Lake, Iceberg, etc) to support both analytical and ML workloads.
• Integrate data from diverse sources: IoT sensors, databases (SQL/NoSQL), REST APIs, and flat files.
• Ensure pipeline scalability, observability, and data quality through monitoring, alerting, validation, and lineage tracking.
• Collaborate with AI/ML teams to provision clean and ML-ready datasets for training and inference.
• Deploy, optimize, and manage pipelines and data infrastructure across on-premise and hybrid environments.
• Participate in architectural decisions to ensure resilient, cost-effective, and secure data flows.
• Contribute to infrastructure-as-code and automation for data deployment using Terraform, Ansible, or similar tools.

Qualifications & Required Skills

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 6+ years in data engineering roles, with at least 2 years handling real-time or streaming pipelines.
• Strong programming skills in Python/Java and SQL.
• Experience with Apache Kafka, Apache Spark, or Apache Flink for real-time and batch processing.
• Hands-on with Airflow, dbt, or other orchestration tools.
• Familiarity with data modeling (OLAP/OLTP), schema evolution, and format handling (Parquet, Avro, ORC).
• Experience with hybrid/on-prem and cloud platforms (AWS/GCP/Azure) deployments.
• Proficient in working with data lakes/warehouses like Snowflake, BigQuery, Redshift, or Delta Lake.
• Knowledge of DevOps practices, Docker/Kubernetes, Terraform or Ansible.
• Exposure to data observability, data cataloging, and quality tools (e.g., Great Expectations, OpenMetadata).

Good-to-Have

• Experience with time-series databases (e.g., InfluxDB, TimescaleDB) and sensor data.
• Prior experience in domains such as aviation, manufacturing, or logistics is a plus.

Responsibilities

• Proactively identify emerging and adjacent needs in the market to pursue and actively work with the practices to develop relevant solutions to offer to customers and enable growth 
• Conduct thorough research and analysis to identify target industries, companies, and decision-makers 
• Develop a good understanding of the solution and service offerings of the organization and practices and explain them to prospects/customers to craft new opportunities  
• Engage in consultative selling to understand client needs, demonstrate the value of Navikenz solutions, and propose customized solutions. 
• Understand competitor behavior, identify & understand their solution & service offerings, and help in competitively positioning our solutions and services 
• Work closely with Technology partner sales teams and jointly enable new business growth through cohesive collaboration, detailed planning, and execution of sales motions  
• Deliver compelling sales presentations and offerings demonstrations to key stakeholders 
• Progressively develop a deeper understanding of certain industry domains or industry sub-segments and identify emerging needs of those segments to proactively develop capabilities to secure ongoing growth 
• Build and maintain a robust pipeline of qualified leads and opportunities 
• Collaborate with cross-functional teams, including marketing, business consulting, data & AI team, and customer success, to ensure seamless execution of sales strategies 
• Negotiate and close contracts, ensuring favorable terms and conditions for both Navikenz and the client 
• Act as a trusted advisor to clients, providing ongoing support, guidance, and problem-solving 

 Required Skills and Qualifications

• A minimum of graduate in any field 
• 6+ years of proven success in B2B sales, specifically in a hunting role 
• Demonstrated ability to meet or exceed sales targets and quotas consistently 
• Strong prospecting and lead generation skills, with experience in cold calling and networking 
• Excellent communication and presentation skills, with the ability to convey complex ideas clearly and persuasively 
• Solid understanding of consultative sales techniques and the ability to tailor solutions to meet client needs 
• Exceptional negotiation and closing skills, with the ability to navigate complex sales cycles 
• Self-motivated, results-oriented, and driven to succeed in a competitive sales environment 
• Strong business acumen and understanding of industry trends and market dynamics 
• Proficiency in using CRM software and other sales tools to manage leads, track sales activities, and report on performance 

 Why Choose Navikenz

• Innovative Solutions: Navikenz is at the forefront of technology by providing AI solutions to clients. By joining Navikenz, you will have the opportunity to work right at the center of ground-breaking technology and contribute to shaping the future of the industry 
• Growth Potential: As a rapidly growing company, Navikenz offers ample opportunities for professional growth and advancement. We value and invest in our employees’ development, providing ongoing training, mentorship, and career progression. 
• Collaborative Environment: Navikenz fosters a collaborative and inclusive work culture where teamwork, creativity, and diverse perspectives are encouraged. You will have the chance to work with talented professionals and contribute to a supportive and dynamic team. 
• Competitive Compensation: We offer a competitive salary package with attractive commission and bonus structures, ensuring your hard work and success are duly rewarded. 
• Impactful Work: Navikenz’s solutions have a direct impact on our clients’ businesses, helping them achieve operational excellence, improve customer satisfaction, and drive revenue growth. By joining us, you will be part of a team that creates meaningful and lasting change for our customers. 
• If you are an ambitious and driven sales professional looking for an exciting opportunity to make an impact, grow your career, and be part of a dynamic and innovative company, Navikenz is the perfect place for you.