11+ HDFS Jobs in Delhi, NCR and Gurgaon | HDFS Job openings in Delhi, NCR and Gurgaon

MANDATORY:

• Super Quality Data Architect, Data Engineering Manager / Director Profile
• Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
• Product Companies (Prefers high-scale, data-heavy companies)

PREFERRED:

• Must be from Tier - 1 Colleges, preferred IIT
• Candidates must have spent a minimum 3 yrs in each company.
• Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

ROLES & RESPONSIBILITIES:

• Lead and mentor a team of data engineers, ensuring high performance and career growth.
• Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
• Drive the development and implementation of data governance frameworks and best practices.
• Work closely with cross-functional teams to define and execute a data roadmap.
• Optimize data processing workflows for performance and cost efficiency.
• Ensure data security, compliance, and quality across all data platforms.
• Foster a culture of innovation and technical excellence within the data team.

IDEAL CANDIDATE:

• 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
• Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
• Proficiency in SQL, Python, and Scala for data processing and analytics.
• Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
• Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
• Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
• Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
• Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
• Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
• Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
• Proven ability to drive technical strategy and align it with business objectives.
• Strong leadership, communication, and stakeholder management skills.

PREFERRED QUALIFICATIONS:

• Experience in machine learning infrastructure or MLOps is a plus.
• Exposure to real-time data processing and analytics.
• Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
• Prior experience in a SaaS or high-growth tech company.

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

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

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

We are looking for a creative storyteller aka Content writer who is digital savvy and has a good hold on brand content strategy and initiatives. The successful candidate will be responsible for building brand content across all internal as well as external platforms. Most importantly, this individual should have a high sense of ownership, who can conceptualize and strategize our visual and written content endeavours.

Role & Responsibilities:

Work closely with business and product managers to understand content strategy objectives and deliverables.

Strong project manager with the ability to engage productively and successfully with key stakeholders from creative, media, marketing, product, and research teams.

Look after short form of content such as push notifications, SMS, emails & social media; as well as SEO driven long form of organic and paid content.

Understand impact of content on overall customer engagement and prioritize tasks accordingly.

Establish guidelines and best practices across teams on content generation.

Qualifications & Skills:

Demonstrated ability to manage multiple projects - prioritization, planning and task delegation.

Have experience in both long form and short form of content.

Excellent written and verbal communication skills

Good organisational and time-management/team building skills

Bachelors/ Masters in Design, Marketing, Communications, Journalism or relevant field.

What you need to have:

Desired candidates must have 2-7 years experience as NodeJs Developer. If the candidate is not able to relocate to Gurgaon then we can also provide permanent Work from home for this position.

Roles and responsibilities:

• Responsible for understanding functional and business requirements and translate them into effective code
• Provide support till deployment of code into production.
• Ownership for ensuring code optimization, problem diagnosis, and on-time delivery
• Implement solutions as per the pre-defined framework /guidelines and adherence to processes
• Finding an optimal solution for the problem statement
• Conduct peer code review.

What candidate should know about:

• Excellent hands-on experience with Node.Js, Express.Js, JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent hands-on experience with MongoDB, Mongo aggregation, MySQL
• Ability to build REST services, Authentications, MVC applications
• Excellent Object Oriented Programming skills and ability to write modular, secure, scalable, and maintainable code
• Experience with Elastic Search, Redis.
• Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)
• Self-learning abilities are required
• Familiarity with upcoming new technologies is a strong plus

• Proficient in  PHP / HTML / CSS / MySql / Javascript/Jquery
• Knowledge of the MVC Framework will be a plus point.
• Good to have Contributions to open-source
• Strong Knowledge of Data Structure and OOPS concept
• Knowledge of Redis will be a plus point
• Should have background knowledge of E-commerce Systems
• Should have work with API's and its services
• Must be passionate about writing clean and maintainable code.

The Company:

The Opportunity:

The Opportunity, as a Full Stack Developer, you'll be at the heart of our company - The Engineering Team. You will be the brain behind crafting, developing, testing, going live and maintaining the products. Will help the Quality Assurance Team by squashing those annoying bugs!

Your day-to-day tasks includes:

What You should have:

Why you must work for VES.