11+ Glue semantics Jobs in Chennai | Glue semantics Job openings in Chennai

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.

Key Responsibilities

• Develop and enhance Generative AI applications using LLMs and AI frameworks.
• Build and optimize RAG pipelines, vector search, and AI-powered workflows.
• Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
• Develop REST APIs and integrate AI capabilities into enterprise applications.
• Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
• Ensure code quality through testing, debugging, documentation, and code reviews.
• Follow Responsible AI, security, and data governance practices.

Required Technical Skills

• Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
• Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
• Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
• Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
• Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
• Experience with PyTorch, TensorFlow, or Keras.
• Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
• Understanding of AI governance, data privacy, and Responsible AI principles.

Preferred Skills

• Experience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).
• Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.
• Knowledge of multimodal AI applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 5 years of software development experience, including AI/ML or Generative AI projects.
• Experience building and deploying production-grade AI solutions.

Assessment Focus Areas

Candidates will be evaluated on:

• Python coding and problem-solving
• Data Structures & Algorithms
• LLMs, RAG, and Agentic AI concepts
• API development and system design
• Cloud deployment and AI solution architecture

Location: Hyderabad / Chennai

Experience: 5+ years

Employment type: Full-time, permanent

Work Hours: General Shift

website: www.amazech.com

Qualifications: 

• B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Data Science, or related disciplines.
• Strong academic background with relevant industry experience in Data Engineering and Data Warehousing.

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

Mandatory Skills - 4 years in Nodejs, JavaScript, Express.js, MongoDB, Data Structures, Algorithms

"Expertise in Node.js Web frameworks like Meteor, Express, and Kraken.JS

Expertise in building highly scalable web services using Node.js, Create REST API with the help of Node middleware

Deep understanding of REST and API design

Experience designing APIs for consistency, simplicity, and extensibility.

Expertise with JavaScript testing frameworks like Jasmine, Quit, Mocha, Sinnon and Chai.

Expertise with building tools like Web pack, gulp, and grunt.

Integration of various application components

Experience in various phases of the Software Development Life Cycle (SDLC) such as requirements

analysis, design, and implementation in an agile environment, etc.

Product Analyst (Process Excellence Team, Episource)

Key Responsibilities and Deliverables 

• Ensure timely release of features and bugs. 
• Talk to development team and ensure all roadblocks are cleared.
• Participate in user acceptance testing and undertaking the functionality testing of new system 
• Do due-diligence (or innovative workshops) with teams to identify areas of Salesforce improvement 
• Interpret business needs and translating them into the application and operational requirement with the help of strong analytical and product management skills 
• Prepare requirements and act as a liaison between development team and ops  
• Create stories in JIRA and ensure they are discussed with dev team for proper sign offs. 
• Prepare monthly, quarterly and six months plan for product roadmap
• Create product roadmaps after discussing with business heads. 
• Ideate and define epics for the product and then define product functions. 
• Each feature or new product development should result in cost per chart optimization or in helping new business line       
• Work on other product lines associated with Salesforce
• Based on business need, work on other product line like retrieval, coding and HRA business on Salesforce
• Training about products and its usage to the customer
• Give proper training to end users on the product usage and its functionality
• Prepare product training manuals during roll out.  

Skills & Attributes required

• Technical Skills

• • Statistical Analysis Tools and techniques 
  • Process Definition, Process Designing, Process Modelling and Simulation, Process and Program Management and BPR 
  • Mid/Large Scale transformations and System Implementations Project 
  • Stakeholder Requirement Analysis
  • Should have good understanding of the latest technology like Machine learning, Natural language processing, & AWS.

• Strong Analytical Skills 
  • Data Exploration and Analysis
  • Has the ability of start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problems 

• Communication Skills 
  • Has the ability to communicate effectively to all the stakeholders
  • Demonstrated ability to communicate complex technical problems in simple plain stories
  • Ability to present information professionally and concisely with supporting data
• Creative Problem Solving and Decision Making
  • Needs to be a self-initiator and should be able to work independently on solving complex business problems
  • Needs to understand customer pain points and should have the ability to innovate processes
  • Inspecting process meticulously, identify value-adds thereby re-aligning processes for operational and financial efficiency 

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

• Solid background and proven experience in the Java Tech Stacks
• Expertise in Java and in JavaScript based framework
• Expertise in multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)
• Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g., Apache) and UI/UX design
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Excellent communication and teamwork skills
• Great attention to detail and problem-solving skills