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The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Trane Technologies’ digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions.Qualifications

Education Requirements

• Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.

Experience Requirements

• 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.

• 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.

• 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.

• Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.

• Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.

• Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.

• Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.

• Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.

• Demonstrated experience working in global, cross‑functional, and agile development environments.

• Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.

• GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).

• Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.

• Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.

• Optimize pipelines for performance, scalability, cost efficiency, and reliability.

• Ensure robust monitoring, alerting, and data quality assurance across distributed systems.

• Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

• Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.

• Support analytical use cases, data modelling, and enable self‑service data consumption.

• Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

• Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.

• Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.

• Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

• Participate in code reviews and maintain global coding standards.

• Follow structured engineering methods, documentation practices, and release processes.

• Contribute effectively in distributed, agile development teams across multiple time zones.

• Communicate clearly with both technical and non‑technical stakeholders.

5. Innovation & Continuous Improvement

• Research, evaluate, and propose new tools, technologies, and design patterns.

• Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.

• Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

Role - Senior Account Manager

About Company -

Our Client is a performance marketing agency, that builds bridges between smart machines and people, to work better, smarter and faster. We believe in performance, where we marry creativity with analytics to discover, define and deploy the most engaging stories.

Job Description:-

• Creating a portfolio of client accounts and monitoring the ongoing activities related to them.
• Managing, reviewing progress and delivering the client’s advertisement projects.
• Conducting meetings with the clients as well as informing them about the current work status of their projects.
• Establishing relationships with new clients and maintaining and nurturing business relationships with existing clients.
• Identifying accounts whose revenue may be shrinking so as to address any ‘at risk’ customers and reach out to these accounts to ensure they are retained.
• Monitoring work performance of colleagues and setting sales targets.

Requirement -

• Experience: 5-7 years into Advertising agency background, Influencer marketing and Social Media. 
• Skills: Leadership, Business development, Maintaining existing clients Etc.,

• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

What are we looking for:

● Good problem solving skills.

● Strong knowledge of CS fundamentals, data structures.

● Experience working in software development with one or more of the following programming languages: Java, Go, Scala, Python, C/C++.

● Strong understanding of relational and non-relational databases (MySql, Postgresql, MongoDB, Cassandra).

● Experience in working with distributed caching (Memcached, Redis, or comparable technology).

Experience in working with distributed messaging technologies like RabbitMQ, Kafka etc.

● Ability to design and implement low latency RESTful services.

● Experience with microservices and web application/services development. 

                Dot Net Programming-C# .Net,MS SQL Server,ASP.NET MVC Domain Skills-

                Dot Net Framework,WCF,ASP.NET,ANSI SQL,ADO.NET,.Net Programming-VB .Net, Technology .NET

React JS Developer

Exp - 5+ years

Skills: React, Redux, Javascript, HTML, CSS
Location: Bangalore, Hyderabad, Chennai

Responsibilities

• Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support

Requirements

• Proven experience as a .NET Developer or https://resources.workable.com/application-developer-job-description">Application Developer
• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies