Role & responsibilities Ensure accuracy, completeness, and governance of PROPERTY master data by monitoring data quality, running quality checks, and validating with external and internal sources. Key Responsibilities - Maintain PROPERTY master data and enforce governance standards. - Validate/enrich using internal and external data sources, websites/registries. - Run quality checks, deduplicate, remediate issues with stakeholders guidance and publish dashboards. Qualifications - Bachelors/Masters in a relevant field; 3-5 years in data stewardship/quality/MDM with PROPERTY experience. Skills & Competencies - SQL, MS Office suite; familiarity with analysis/ governance tools; strong research and stakeholder communication skills.
We are seeking a talented and motivated Full Stack Developer to join our dynamic team. The ideal candidate will have a strong background in .NET Core, Azure technologies, and front end development with proficiency in React, Angular, or JavaScript. You will be responsible for developing and maintaining web applications, implementing CI/CD pipelines using Azure DevOps, and collaborating with other developers to deliver high-quality software solutions. Key Responsibilities: • Develop and maintain web applications using .NET Core and Azure technologies. • Implement and manage CI/CD pipelines using Azure DevOps. • Create and maintain comprehensive documentation for developed applications. • Collaborate with front-end developers to integrate user-facing elements with server side logic. • Design and implement microservices architecture. • Develop and manage Azure Function Apps. • Work with SQL databases, PostgreSQL, and non-relational databases. • Utilize Elasticsearch for search and analytics. • Write and maintain QA unit tests to ensure code quality. • Stay updated with emerging technologies and apply them to improve existing solutions. • Work on global applications to ensure scalability and performance across different regions. Requirements: • Proven experience with . NET Core and Azure technologies. • Proficiency in front-end development using React, Angular, or JavaScript. • Strong understanding of design patterns and OOP principles. • Excellent problem-solving skills and the ability to handle tasks independently. • Experience with Azure DevOps for CI/CD. • Strong documentation skills and knowledge of microservices architecture and Azure Function Apps. • Knowledge of Elasticsearch. • Experience with SQL databases, PostgreSQL, and non-relational databases. • Proficiency in using GitHub for version control. • Experience in writing QA unit tests. Preferred Qualifications: • Knowledge of microservices architecture. • Excellent teamwork and collaboration skills. • Willingness to learn new technologies and adapt to changing requirements.
Please find the Angular Full Stack Developer Job Description below: Job Role: As a Full Stack Developer you will be responsible for design, development, modification, debug and/or maintain software system for one or more specific modules within a large software system scope. You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment. Key Responsibilities: Design, develop, modify, debug and/or maintain software code according to functional, non-functional and technical design specifications. Follow software engineering standards, applicable software development methodology and release processes, to ensure code is maintainable, scalable , supportable and demo the software products to stakeholders Work within a scrum team, collaborate and add value through participation in peer code reviews, provide comments and suggestions, work with cross functional teams to achieve goals. Technical accountability for your specific work products within an application and provide technical support during solution design for new requirements. Encourage to actively look for innovation and continuous improvement, efficiency in all assigned tasks. Key Requirements: Total Experience: 8- 13 years Key Skills: Angular, Go lang, SQL Good to have experience in Jenkins, AWS/Azure, Docker containers, Cloud Native Apps Good knowledge and coding experience in Golang or any similar language like (Java /.Net/C++/Python) Knowledge/Experience in Micro services architecture with SOAP/REST services. Experience in working with SQL databases like PostgreSQL / SQL Server / similar one. Working experience in implementing Continuous Integration and Continuous Deployment (CI/CD) build systems in an agile workflow. Independently develop the requirements on the user stories in a highly self-managed Scrum Team. Actively participate in User story refinement , design of the solution and develop the same to meet or exceed the acceptance criteria. Excellent verbal and written communication skills and ability to work in a collaborative manner with peers across different time zones. Passionate about good design and code quality and have strong engineering practices. Personal Attributes: Very good communication skills. Ability to easily fit into a distributed development team. Ability to manage timelines of multiple initiatives.
About the Role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for the design, development, deployment, and maintenance of machine learning models and systems that drive our [mention specific business area or product, e.g., recommendation engine, fraud detection system, autonomous vehicles]. You will work closely with data scientists, software engineers, and product managers to translate business needs into scalable and reliable machine learning solutions. This is a key role in shaping the future of CBRE and requires a strong technical foundation combined with a passion for innovation and problem-solving. Responsibilities: * Model Development & Deployment: * Design, develop, and deploy machine learning models using various algorithms (e.g., regression, classification, clustering, deep learning) to solve complex business problems. * Select appropriate datasets and features for model training, ensuring data quality and integrity. * Implement and optimize model training pipelines, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. * Deploy models to production environments using containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). * Monitor model performance in production, identify and troubleshoot issues, and implement model retraining and updates as needed. * Infrastructure & Engineering: * Develop and maintain APIs for model serving and integration with other systems. * Write clean, well-documented, and testable code. * Collaborate with software engineers to integrate models into existing products and services. * Research & Innovation: * Stay up-to-date with the latest advancements in machine learning and related technologies. * Research and evaluate new algorithms, tools, and techniques to improve model performance and efficiency. * Contribute to the development of new machine learning solutions and features. * Proactively identify opportunities to leverage machine learning to solve business challenges. * Collaboration & Communication: * Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders. * Communicate technical concepts and findings clearly and concisely to both technical and non-technical audiences. * Participate in code reviews and contribute to the team's knowledge sharing. Qualifications: * Experience: 7+ years of experience in machine learning engineering or a related field. * Technical Skills: * Programming Languages : Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus. * Machine Learning Libraries : Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc. * Data Processing : Experience with data manipulation and processing using libraries like Pandas, NumPy, and Spark. * Model Deployment : Experience with model deployment frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Seldon, AWS SageMaker, Google AI Platform, Azure Machine Learning). * Databases : Experience with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra). * Version Control : Experience with Git and other version control systems. * DevOps : Familiarity with DevOps practices and tools. * Strong understanding of machine learning concepts and algorithms : Regression, Classification, Clustering, Deep Learning etc. * Soft Skills: * Excellent problem-solving and analytical skills. * Strong communication and collaboration skills. * Ability
Key Responsibilities: Designing, constructing, installing, testing, and maintaining highly scalable data management systems Familiarity with the Agile development methodology and to be part of Agile scrum team and partner with various stake holders. Responsible for conceptualizing and designing detailed solutions. Works with product team to prioritize features for ongoing sprints and managing a list of data requirements based on industry trends, new technologies and project requirements. Communicating project progress to stakeholders and capable of handling risks and issues affecting the project. Key Responsibilities: Design, develop, and optimize data models, schemas, and ETL processes within the Snowflake platform. Write complex SQL queries for data extraction, transformation, and analysis. Collaborate with data architects and data scientists to gather requirements and implement data solutions that meet business needs. Implement and maintain data governance processes, ensuring data quality, security, and compliance. Monitor and troubleshoot data pipelines and ETL processes to ensure smooth operation and timely data availability. Develop and maintain documentation for data models, ETL processes, and data governance policies. Utilize Python for data manipulation, automation of data processes, and integration with other tools and systems. Work with PostgreSQL databases to support data storage and retrieval as needed. Stay updated with industry best practices and emerging technologies related to cloud data warehousing and data governance. Qualifications: A minimum of 8 years of working experience with Data and a minimum of 4 years of Snowflake Experience. Strong expertise in Snowflake, including data modeling, performance tuning, and best practices. Proficient in SQL with the ability to write complex queries for data analysis and reporting. Experience in ETL processes and tools, with a strong understanding of data integration methodologies. Familiarity with Data Governance processes and policies, ensuring data quality and compliance. Proficient in Python for data processing and automation. Experience with PostgreSQL, including database design and query optimization. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills, able to work effectively in a team-oriented environment. Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Bachelors degree in computer science, Data Science, Information Technology, or a related field.
Role: Go lang with Angular, SQL Total Experience: 8 - 12 years Role & responsibilities - Good to have experience in Jenkins, AWS/Azure, Docker containers, Cloud Native Apps - Good knowledge and coding experience in Golang or any similar language like (Java /.Net/C++) - Knowledge/Experience in Micro services architecture with SOAP/REST services (desirable). - Experience in working with SQL databases like PostgreSQL / SQL Server / similar one. - Experience in implementing Continuous Integration and Continuous Deployment (CI/CD) build systems in an agile workflow. - Independently develop the requirements on the user stories in a highly managed Scrum Team. - Actively participate in User story refinement , design of the solution and develop the same to meet or exceed the acceptance criteria. - Excellent verbal and written communication skills and ability to work in a collaborative manner with peers across different time zones. - Passionate about good design and code quality and have strong engineering practices. Personal Attributes: - Very good communication skills. - Ability to easily fit into a distributed development team. - Ability to manage timelines of multiple initiatives.
Industry: Information Technology & Services Experience: 15+ years of overall IT experience , including 8-10 years of deep expertise in Cloud Data Architecture, Artificial Intelligence, and advanced analytics , with hands-on leadership in designing and implementing end-to-end cloud-native AI solutions . The Role CriticalRiver is seeking an experienced and forward-thinking Cloud Data & AI Architect to lead the design and implementation of our scalable, end-to-end data ecosystem. You will be the mastermind behind our data infrastructure, responsible for architecting robust systems that support everything from advanced analytics to cutting-edge artificial intelligence applications. This is a critical role where you'll collaborate with data scientists, engineers, and business leaders to turn complex data challenges into powerful, actionable insights. If you are passionate about building modern data platforms and have deep expertise across the entire data lifecycle, we want to talk to you! What You'll Do Architect & Design: Design, build, and oversee our cloud-native data architecture, ensuring it is scalable, secure, and cost-effective. Platform Leadership: Lead the technical strategy and implementation on modern data platforms like Snowflake , Google BigQuery , Amazon Redshift , Azure Synapse , and Databricks . End-to-End Data Lifecycle Management: Engineer solutions for the complete data journey, including data ingestion, ETL/ELT processing, storage, transformation, governance, and consumption for analytics and AI/ML models. AI/ML Integration: Design infrastructure to support the deployment and scaling of machine learning models, working closely with our data science team to enable MLOps best practices. Stakeholder Collaboration: Act as the bridge between technical teams and business stakeholders, translating business requirements into technical solutions and data models. Innovation & Strategy: Stay ahead of industry trends, evaluate new technologies, and drive the continuous improvement of our data and AI capabilities. What You'll Bring Proven Experience: Demonstrated experience in a role like Data Architect, Solutions Architect, or Cloud Engineer, with a strong focus on data-intensive systems. Cloud Expertise: Deep, hands-on experience with at least one major cloud provider ( AWS, GCP, or Azure ). Modern Data Platform Mastery: Extensive, practical experience architecting and building solutions using platforms such as Snowflake , BigQuery , Redshift , Synapse , and/or Databricks . You should be able to articulate the trade-offs between them. Data Lifecycle Knowledge: Solid understanding of the entire data lifecycle, including data modeling, data warehousing, data lakes, and ETL/ELT development. Technical Skills: Proficiency with SQL and at least one programming language (e.g., Python ). Experience with infrastructure-as-code (e.g., Terraform) is a plus. Excellent Communicator: Ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Preferred Qualifications International Client Experience: Proven experience working with international customers, especially in the US and European markets . IT Services Background: Previous experience at a Tier 1 or Tier 2 Indian IT services company is a strong plus. Certifications: Relevant cloud certifications ( AWS, GCP, Azure ) and data transformation certifications ( dbt , dataform) are highly preferred. AI Agent Systems: Experience with multi-agent AI systems and frameworks like Crew AI or Google Agent Space is a significant advantage. Streaming & ML Ops: Experience with data streaming technologies (e.g., Kafka, Kinesis) and ML Ops frameworks (e.g., Kubeflow, ML flow).