11+ HiveQL Jobs in Chennai | HiveQL Job openings in Chennai

Role Summary/Purpose:

We are looking for a Developer/Senior Developers to be a part of building advanced analytical platform leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in resolving and influencing high-level decisions.

Requirements:

• The candidate must be a self-starter, who can work under general guidelines in a fast-spaced environment.
• Overall minimum of 4 to 8 year of software development experience and 2 years in Data Warehousing domain knowledge
• Must have 3 years of hands-on working knowledge on Big Data technologies such as Hadoop, Hive, Hbase, Spark, Kafka, Spark Streaming, SCALA etc…
• Excellent knowledge in SQL & Linux Shell scripting
• Bachelors/Master’s/Engineering Degree from a well-reputed university.
• Strong communication, Interpersonal, Learning and organizing skills matched with the ability to manage stress, Time, and People effectively
• Proven experience in co-ordination of many dependencies and multiple demanding stakeholders in a complex, large-scale deployment environment
• Ability to manage a diverse and challenging stakeholder community
• Diverse knowledge and experience of working on Agile Deliveries and Scrum teams.

Responsibilities

• Should works as a senior developer/individual contributor based on situations
• Should be part of SCRUM discussions and to take requirements
• Adhere to SCRUM timeline and deliver accordingly
• Participate in a team environment for the design, development and implementation
• Should take L3 activities on need basis
• Prepare Unit/SIT/UAT testcase and log the results
• Co-ordinate SIT and UAT Testing. Take feedbacks and provide necessary remediation/recommendation in time.
• Quality delivery and automation should be a top priority
• Co-ordinate change and deployment in time
• Should create healthy harmony within the team
• Owns interaction points with members of core team (e.g.BA team, Testing and business team) and any other relevant stakeholders

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Key Responsibilities

Test Architecture & Design

• Architect test frameworks and infrastructure to validate microservices and distributed systems in multi-cluster, hybrid-cloud environments.
• Design complex test scenarios simulating production-like workloads, scaling, failure injection, and recovery.
• Ensure reliability, scalability, and maintainability of test systems.

Automation & Scalability

• Drive test automation integrated with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Leverage Kubernetes APIs, Helm, and service meshes (Istio/Linkerd) for automation coverage of health, failover, and network resilience.
• Implement Infrastructure-as-Code (IaC) practices for test infrastructure to ensure repeatability and extensibility.

Technical Expertise

• Deep knowledge of Kubernetes internals, cluster lifecycle management, Helm, service meshes, and network policies.
• Strong scripting and automation skills with Python, Pytest, and Bash.
• Hands-on with observability stacks (Prometheus, Grafana, Jaeger) and performance benchmarking tools (e.g., K6).
• Experience with cloud platforms (AWS, Azure, GCP) and containerized CI/CD.
• Solid Linux proficiency: Bash scripting, debugging, networking, PKI management, Docker/containerd, GitOps/Flux, kubectl/Helm, troubleshooting multi-cluster environments.

Required Skills & Qualifications

• 6+ years in QA, Test Automation, or related engineering roles.
• Proven experience in architecting test frameworks for distributed/cloud-native systems.
• Expertise in Kubernetes, Helm, CI/CD, and cloud platforms (AWS/Azure/GCP).
• Strong Linux fundamentals with scripting and system debugging skills.
• Excellent problem-solving, troubleshooting, and technical leadership abilities.
• 
  

* Junior Architect – Project planning

* Coordinating with clients

* Supporting design and execution-related tasks.

NOTE : B.ARCH candidates only eligible , no civil candidates

Job description

We are looking for an experienced Python developer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be responsible for writing and testing scalable code, developing back-end components, and integrating user-facing elements in collaboration with front-end developers.

Responsibilities:

• Coordinating with development teams to determine application requirements.

• Writing scalable code using Python programming language.

• Testing and debugging applications.

• Developing back-end components.

• Integrating user-facing elements using server-side logic.

• Assessing and prioritizing client feature requests.

• Integrating data storage solutions.

• Coordinating with front-end developers.

• Reprogramming existing databases to improve functionality.

• Developing digital tools to monitor online traffic.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or related field.

• 2-7 years of experience as a Python Developer.

• Expert knowledge of Python and Flask framework and Fast API.

• Solid experience in MongoDB, Elastic Search.

• Work experience in Restful API

• A deep understanding and multi-process architecture and the threading limitations of Python.

• Ability to integrate multiple data sources into a single system.

• Familiarity with testing tools.

• Ability to collaborate on projects and work independently when required.

• Excellent troubleshooting skills.

• Good project management skills.

SKILLS:

• PHYTHON
• MONGODB
• FLASK
• REST API DEVELOPMENT
• TWILIO

Job Type: Full-time

Pay: ₹10,000.00 - ₹30,000.00 per month

Benefits:

• Flexible schedule
• Paid time off

Schedule:

• Day shift

Supplemental Pay:

• Overtime pay

Ability to commute/relocate:

• Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Python: 1 year (Required)

Work Location: In person

We are seeking a creative Content Writer to join our Marketing team and help us guide RemitBee into the future. You will be working closely with the Marketing Team to engage our online audiences around the world and build brand awareness through articles, case studies, educational content, and sales copy. Your work will be one of the crucial factors in determining how the business performs. If you are a creative and innovative problem solver, this role is the perfect fit for you. 

Key Responsibilities: 

• Create the following type of content – blog posts, articles, case studies, educational content, PRs, web and ad copy, sales copy, and email copy. 
• Research and analyze data/information about the content topic. 
• Following SEO best practices in the content. 
• Come up with new ideas and suggestions for topics and content. 
• Be up to date with the latest financial and technology news in North America/Canada/Worldwide. 
• Work closely with the marketing/SEO/content teams. 
• Follow the brand guidelines and voice for content production. 
• Other responsibilities as required. 

Required Skills/Qualifications: 

• 2 to 3 years minimum of professional writing experience 
• Experience in Journalism is a must  
• Fluent in written English, Punctuation, and Grammar 
• A strong portfolio of various content, preferably in the financial or technological domain. 
• A keen eye for aesthetics and details. 
• Excellent communication skills. 
• Use Google Trends 
• Highly organized, with a proven ability to meet deadlines in a demanding environment. 
• Ability to communicate and present ideas and rationales. 
• An ability to self-motivate and be team-centric. 
• Ability to prioritize and manage workload across multiple simultaneous tasks, in a fast-paced work environment, while ensuring delivery of high-quality work and meeting timelines. 
• Experience working with different teams and multiple stakeholders in an agile environment 

Nice to have: 

• Post-secondary degree 
• Publications  
• Technical writing experience 
• Experience working with SEO requirements and being able to perform keyword research 
• Sales/ad copy experience

Position: PHP Full Stack Developer

Responsibilities:

- Develop and manage web applications.

- Collaborate with a team of developers to maintain a high-quality codebase.

- Troubleshoot and debug issues with web applications.

- Coordinate work with other internal departments.

Requirements:

- Strong experience with Core PHP, Codeigniter, MySQL, JavaScript, HTML5, and CSS.

- Minimum 1 year of experience in Full Stack ERP/CMS development.

- Familiarity with front-end technologies such as HTML5, CSS3, JavaScript, JQuery, AngularJS, etc.

- Strong analytical and problem-solving skills.

Additional Preferences:

- Male candidates and immediate joiners are preferred.

Compensation:

- Salary range: 3 - 5 LPA (Indian Rupees), based on knowledge, skills, and assessment.

We are hiring Full Stack Developers who are passionate, self-driven and capable of working in both frontend and backend technologies. They will work closely with our product team in building features and applications to directly benefit the product's growth.

We have a ton of interesting problems to solve. You will be surrounded by hard-working and smart developers who share the same goals as yours.

Responsibilities:

• Managing the complete software development process from conception to deployment
• Developing and managing well-functioning databases and applications.
• Modifying and testing changes to previously developed program
• Working effectively in collaboration with other teams /partners in Scaled Agile Framework and other support functions when required with a continuous focus on improving applications.
• Ensuring quality delivery of the code to UAT and production environments with complete ownership.
• Working towards improving code quality standardization.
• Maintaining and upgrading the software following deployment
• Managing the end-to-end life cycle for the production of software and applications
• Overseeing and guiding the analyzing, writing, building, and deployment of software
• Overseeing the automated testing and providing feedback to management during the development process
• Being creative in using tools and third-party services to deliver the code faster

Requirements:

• Extensive experience in Python in the backend
• Experience in web frameworks like Django
• Proficiency in HTML, CSS and Javascript front-end frameworks such as React, Vue or such
• Experience with Postgres, SQLite
• Experience with Version Control Systems like Git 
• Sound knowledge of Software engineering best practices
• Sound knowledge in RestFul API Design
• Good knowledge of database concepts
• Good understanding of incorporating ML models in Python applications
• Strong communication skills
• Experience in maintaining production servers
• Experience with AWS / Digital Ocean / Heroku

Technical Proficiency:
Experience in leading self-service offering to business users. Tableau experience in Architecture, Administration and development is must.

• Experience in supporting and administration of middleware software systems in an enterprise setting. Excellent troubleshooting skills in a complex enterprise environment.
• Hadoop / Big Data domain experience is required, as is exposure to ecosystem technologies such as Hive, Impala and Spark.
  Data Warehouse/ETL design and development methodologies knowledge and experience required
• Scripting experience in Linux shell scripting and Python.
• Good SQL skills.
• Integrate/roll-out/administer/sustain/upgradeour installations of vendor BI products on Linux.
• Ensure products are configured properly to meet the necessary security, supportability, and performance requirements.
  Experience with developing frameworks and utility services including logging/monitoring
  
  Leadership Skills:
  o    Lead the team on Strategic BI and Big Data Governance.
  o    Excellent organization skills, attention to detail
  o    Demonstrated sense of responsibility and capability to deliver quickly
  o    Ability to build strong relationships in a multi-cultural environment across all levels within IT
  o    Promotes continuous process improvement especially in code quality, testability & reliability
  o    Exceptional strategic analysis, problem solving, issue resolution and decision making skills
  o    Excited about rapid changes in the market/domain and being flexible to adopt newer technologies and methods.
  
  Education: