2391 Database Design Jobs - Page 48

Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs. Ensure models comply with organizational data policies, security, and regulatory requirements.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Data Analyst WorkMode :Hybrid Work Location Chennai / Hyderabad / Bangalore / Pune Work Timing 2 PM to 11 PM Primary DataAnalyst Minimum 6 years of experience as DataAnalyst with at least 3+ Years experience in Data Migration initiatives. Experience in Migrating COTS/legacy systems including large volumes of data without compromising its accuracy and completeness Technical expertise regarding data models, database design development, data mining and segmentation techniques Experience with ETL development both on premises and in the cloud Strong functional understanding of RDBMS DWH-BI conceptual knowledge

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong knowledge and experience in database design, modelling and development using PL SQL. Minimum of 6 years. Proficiency with Oracle databases and tools, such as SQL Developer and Toad In-depth understanding of SQL tuning and optimization techniques Knowledge of database performance monitoring and troubleshooting Familiarity with ETL processes and data integration techniques and Strong analytical and problem-solving skills Preferred technical and professional experience Ability to work in a fast-paced environment and meet deadlines Knowledge of agile software development practices is a plus Bachelor's degree in computer science or a related field is preferred, but not required

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong knowledge and experience in database design, modelling and development using PL SQL. Minimum of 6 years. Proficiency with Oracle databases and tools, such as SQL Developer and Toad In-depth understanding of SQL tuning and optimization techniques Knowledge of database performance monitoring and troubleshooting Familiarity with ETL processes and data integration techniques and Strong analytical and problem-solving skills Preferred technical and professional experience Ability to work in a fast-paced environment and meet deadlines Knowledge of agile software development practices is a plus Bachelor's degree in computer science or a related field is preferred, but not required

Design, build, test and deploy Google Cloud data models and transformations in BigQuery, environment . SQL, stored procedures, indexes, clusters, partitions, triggers, Deliver a data warehouse and pipelines which follow abstraction and database refactoring best practice in order to support evolutionary development and continual change Protect the solution with appropriate Authorization and Authentication models, data encryption and other security components this will include consumer registration and storage of identification and change management considerations Review and refine, interpret and implement business and technical requirements Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira Manage code artefacts and CI/CD using tools like Git, Jenkins, Google Secrets Manager, etc. Estimate, commit and deliver requirements to scope, quality, and time expectations Deliver non-functional requirements, IT standards and developer and support tools to ensure our applications are a secure, compliant, scalable, reliable and cost effective Write well-commented, maintainable and self-documenting code Fix defects and provide enhancements during the development period and hand-over knowledge, expertise, code and support responsibilities to support team Essential Experience Expert in database design, development and administration understanding of relational and dimensional data models (and preferably Data Vault) Expertise in On-prem or Cloud Databases, Warehouses and Lakes Excellent understanding of GCP Architecting and solution design Proven experience / solid knowledge in developing and optimization of SQL/T-SQL procedures in Traditional or Cloud Databases Coding and development of DDL and DML database components Excellent knowledge of devops tools like Ansible , Jenkins, Github ,Puppet, Chef etc. IT methodology/procedural knowledge; Agile/Scrum, DevOps and ITIL principles. BS/MS degree in Computer Science, Engineering or a related subject Excellent communication and interpersonal skills in English. Proficiency in verbal, listening and written English is crucial.

Key Responsibilities Design and implement the backend services and APIs Develop integration frameworks for external systems Implement workflow engine and automation capabilities using Restate Create event bus and webhook system with Kafka Ensure system security performance and reliability Required Skills 6 years of experience with TypeScript Node js backend development Strong experience with NestJS or similar backend frameworks Experience with database design and ORM frameworks Expert knowledge of API design REST GraphQL Experience with Apache Kafka and event driven architectures Experience with Restate or willingness to quickly become proficient Strong understanding of authentication and authorization systems Extensive experience with integration patterns and API development Experience with Neo4j or other graph databases Experience with cloud provider APIs AWS GCP Azure Desired Skills Experience with CQRS and event sourcing patterns Knowledge of BPM Business Process Management systems Experience with service mesh technologies Understanding of compliance and governance frameworks

Design, develop, and maintain scalable and high-performance web applications using .NET technologies. Implement responsive and user-friendly front-end interfaces using React or Angular. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Integrate with cloud services (Azure/AWS) to enhance application functionality and scalability. Troubleshoot and resolve complex technical issues. Mentor junior developers and contribute to team growth and knowledge sharing. Participate in code reviews and ensure adherence to best practices and coding standards. Bachelors degree in Computer Science, Engineering, or related field. 5+ years of experience in full stack development with .NET technologies. Proficiency in front-end development using React or Angular. Strong experience with cloud platforms (Azure/AWS). Solid understanding of RESTful APIs and web services. Experience with database design and management (SQL Server, NoSQL). Familiarity with DevOps practices and CI/CD pipelines. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Lead the design and development of applications.- Act as the primary point of contact for the project team.- Ensure timely project delivery and quality assurance.- Provide technical guidance and mentorship to team members.- Collaborate with stakeholders to gather requirements and define project scope. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data analytics and data processing.- Experience with cloud-based data platforms.- Knowledge of data modeling and database design.- Hands-on experience with ETL processes and data integration. Additional Information:- The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, ensuring that the applications meet the required specifications and quality standards while mentoring team members to enhance their skills and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and best practices.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality frameworks.- Ability to analyze complex data sets and derive actionable insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with stakeholders to understand business needs and translating them into functional design solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with stakeholders to gather and analyze requirements.- Design and develop applications based on business process requirements.- Implement best practices for application design and development.- Conduct testing and debugging to ensure application functionality.- Provide technical support and guidance to team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and ETL processes.- Experience with data modeling and database design.- Knowledge of SAP BusinessObjects reporting tools.- Hands-on experience in application design and development. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP BusinessObjects Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Native HANA SQL Modeling & Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in ensuring that applications meet the required standards and deliver value to the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Native HANA SQL Modeling & Development.- Strong understanding of database design principles and data modeling techniques.- Experience with performance tuning and optimization of SQL queries.- Familiarity with application integration and data migration strategies.- Ability to troubleshoot and resolve technical issues related to application development. Additional Information:- The candidate should have minimum 5 years of experience in SAP Native HANA SQL Modeling & Development.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Native HANA SQL Modeling & Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in ensuring that applications meet the required standards and deliver value to the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Native HANA SQL Modeling & Development.- Strong understanding of database design principles and data modeling techniques.- Experience with performance tuning and optimization of SQL queries.- Familiarity with application integration techniques and tools.- Ability to troubleshoot and resolve technical issues related to application development. Additional Information:- The candidate should have minimum 5 years of experience in SAP Native HANA SQL Modeling & Development.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are functioning optimally and meeting the needs of the organization. Your role will require you to balance technical expertise with effective communication, ensuring that all stakeholders are informed and aligned throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database design and management.- Experience with performance tuning and optimization of SQL queries.- Familiarity with backup and recovery strategies for SQL databases.- Ability to implement security measures for database access. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Urgent Opening for Sr Web Developer-Bangalore Posted On 20th Jul 2015 08:01 AM Location Bangalore Role / Position Senior Web Developer Experience (required) 4-6 years Description Our client is a marketing services agency specializing in managing Brand Properties &providing the following integrated services - Brand Identity Consultancy & Design, Brand Activation,Trade Marketing, Retail Marketing, Corporate Events and Digital Marketing. We conceptualize andexecute marketing strategies for our Clients to strengthen the relationship between their Brands andthe Consumers with our unique integrated offering of Events & Activation and Digital Marketing &Technology. DesignationSenior Web Developer LocationBangalore Responsibilities Work primarily on database driven websites, as well as mobile interfaces and apps and other consumer facing websites, implement code, maintain tests and ensure high-quality and timely code development. Incorporate a strong portfolio of UI/UX best practices. Actively contribute to software development that creates a great user brand experience. Innovate by refining, evolving and creating new features to improve the usability and functionality of our front-end applications. Qualifications/Core Skills: 4-6 years of experience in an internet-focused software product or business. Understanding of complex database concepts as well as the implications of different database designs. Strong understanding of web standards and technologies (HTML/ HTML5, CSS3, ASP.net, MYSQL, PHP, JavaScript, JQuery). Hands-on experience with different JavaScript frameworks (jQuery, Dojo, mootools, etc.) Practical knowledge and demonstrated experience with cross-browser and cross-platform issues (IE, Firefox, Chrome, etc.) Bachelors degree (MS preferred) in Computer Science or related discipline Send Resumes to girish.expertiz@gmail.com -->Upload Resume

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and maintain data pipelines for efficient data processing.- Implement ETL processes to ensure seamless data migration.- Collaborate with cross-functional teams to optimize data solutions.- Conduct data quality assessments and implement improvements.- Stay updated on industry trends and best practices for data management. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and database design.- Experience with cloud-based data platforms like AWS or Azure.- Hands-on experience with SQL and scripting languages like Python.- Knowledge of data governance principles and practices. Additional Information:- The candidate should have a minimum of 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : IoT Architect Project Role Description : Design end-to-end IoT platform architecture solutions, including data ingestion, data processing, and analytics across different vendor platforms for highly interconnected device workloads at scale. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary We are seeking a highly skilled and experienced Industrial Data Architect with a proven track record in providing functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Well versed with OT data quality, Data modelling, data governance, data contextualization, database design, and data warehousing. Roles & Responsibilities:1. Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives. This role involves collaborating with various teams to design and implement efficient, scalable, and secure data solutions for industrial operations. 2. Focused on designing, building, and managing the data architecture of industrial systems. 3. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. 4. Own the offerings and assets on key components of data supply chain, data governance, curation, data quality and master data management, data integration, data replication, data virtualization. 5. Create scalable and secure data structures, integrate with existing systems, and ensure efficient data flow. Professional & Technical Skills: 1. Must have Skills: Domain knowledge in areas of Manufacturing IT OT in one or more of the following verticals Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science. 2. Data Modeling and Architecture:Proficiency in data modeling techniques (conceptual, logical, and physical models). 3. Knowledge of database design principles and normalization. 4. Experience with data architecture frameworks and methodologies (e.g., TOGAF). 5. Database Technologies:Relational Databases:Expertise in SQL databases such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. 6. NoSQL Databases:Experience with at least one of the NoSQL databases like MongoDB, Cassandra, and Couchbase for handling unstructured data. 7. Graph Databases:Proficiency with at least one of the graph databases such as Neo4j, Amazon Neptune, or ArangoDB. Understanding of graph data models, including property graphs and RDF (Resource Description Framework). 8. Query Languages:Experience with at least one of the query languages like Cypher (Neo4j), SPARQL (RDF), or Gremlin (Apache TinkerPop). Familiarity with ontologies, RDF Schema, and OWL (Web Ontology Language). Exposure to semantic web technologies and standards. 9. Data Integration and ETL (Extract, Transform, Load):Proficiency in ETL tools and processes (e.g., Talend, Informatica, Apache NiFi). 10. Experience with data integration tools and techniques to consolidate data from various sources. 11. IoT and Industrial Data Systems:Familiarity with Industrial Internet of Things (IIoT) platforms and protocols (e.g., MQTT, OPC UA). 12. Experience with IoT data platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT Core. 13. Experience working with one or more of Streaming data platforms like Apache Kafka, Amazon Kinesis, Apache Flink 14. Ability to design and implement real-time data pipelines. Familiarity with processing frameworks such as Apache Storm, Spark Streaming, or Google Cloud Dataflow. 15. Understanding event-driven design patterns and practices. Experience with message brokers like RabbitMQ or ActiveMQ. 16. Exposure to the edge computing platforms like AWS IoT Greengrass or Azure IoT Edge 17. AI/ML, GenAI:Experience working on data readiness for feeding into AI/ML/GenAI applications 18. Exposure to machine learning frameworks such as TensorFlow, PyTorch, or Keras. 19. Cloud Platforms:Experience with cloud data services from at least one of the providers like AWS (Amazon Redshift, AWS Glue), Microsoft Azure (Azure SQL Database, Azure Data Factory), and Google Cloud Platform (BigQuery, Dataflow). 20. Data Warehousing and BI Tools:Expertise in data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery). 21. Proficiency with Business Intelligence (BI) tools such as Tableau, Power BI, and QlikView. 22. Data Governance and Security:Understanding data governance principles, data quality management, and metadata management. 23. Knowledge of data security best practices, compliance standards (e.g., GDPR, HIPAA), and data masking techniques. 24. Big Data Technologies:Experience with big data platforms and tools such as Hadoop, Spark, and Apache Kafka. 25. Understanding distributed computing and data processing frameworks. Additional Info1. A minimum of 15-18 years of progressive information technology experience is required. 2. This position is based at Bengaluru location. 3. A 15 years full-time education is required. 4. AWS Certified Data Engineer Associate / Microsoft Certified:Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer certification is mandatory Qualification 15 years full time education

Project Role : IoT Architect Project Role Description : Design end-to-end IoT platform architecture solutions, including data ingestion, data processing, and analytics across different vendor platforms for highly interconnected device workloads at scale. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary We are seeking a highly skilled and experienced Industrial Data Architect with a proven track record in providing functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Well versed with OT data quality, Data modelling, data governance, data contextualization, database design, and data warehousing. Roles & Responsibilities:1. Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives. This role involves collaborating with various teams to design and implement efficient, scalable, and secure data solutions for industrial operations. 2. Focused on designing, building, and managing the data architecture of industrial systems. 3. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. 4. Own the offerings and assets on key components of data supply chain, data governance, curation, data quality and master data management, data integration, data replication, data virtualization. 5. Create scalable and secure data structures, integrate with existing systems, and ensure efficient data flow. Professional & Technical Skills: 1. Must have Skills: Domain knowledge in areas of Manufacturing IT OT in one or more of the following verticals Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science. 2. Data Modeling and Architecture:Proficiency in data modeling techniques (conceptual, logical, and physical models). 3. Knowledge of database design principles and normalization. 4. Experience with data architecture frameworks and methodologies (e.g., TOGAF). 5. Database Technologies:Relational Databases:Expertise in SQL databases such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. 6. NoSQL Databases:Experience with at least one of the NoSQL databases like MongoDB, Cassandra, and Couchbase for handling unstructured data. 7. Graph Databases:Proficiency with at least one of the graph databases such as Neo4j, Amazon Neptune, or ArangoDB. Understanding of graph data models, including property graphs and RDF (Resource Description Framework). 8. Query Languages:Experience with at least one of the query languages like Cypher (Neo4j), SPARQL (RDF), or Gremlin (Apache TinkerPop). Familiarity with ontologies, RDF Schema, and OWL (Web Ontology Language). Exposure to semantic web technologies and standards. 9. Data Integration and ETL (Extract, Transform, Load):Proficiency in ETL tools and processes (e.g., Talend, Informatica, Apache NiFi). 10. Experience with data integration tools and techniques to consolidate data from various sources. 11. IoT and Industrial Data Systems:Familiarity with Industrial Internet of Things (IIoT) platforms and protocols (e.g., MQTT, OPC UA). 12. Experience with IoT data platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT Core. 13. Experience working with one or more of Streaming data platforms like Apache Kafka, Amazon Kinesis, Apache Flink 14. Ability to design and implement real-time data pipelines. Familiarity with processing frameworks such as Apache Storm, Spark Streaming, or Google Cloud Dataflow. 15. Understanding event-driven design patterns and practices. Experience with message brokers like RabbitMQ or ActiveMQ. 16. Exposure to the edge computing platforms like AWS IoT Greengrass or Azure IoT Edge 17. AI/ML, GenAI:Experience working on data readiness for feeding into AI/ML/GenAI applications 18. Exposure to machine learning frameworks such as TensorFlow, PyTorch, or Keras. 19. Cloud Platforms:Experience with cloud data services from at least one of the providers like AWS (Amazon Redshift, AWS Glue), Microsoft Azure (Azure SQL Database, Azure Data Factory), and Google Cloud Platform (BigQuery, Dataflow). 20. Data Warehousing and BI Tools:Expertise in data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery). 21. Proficiency with Business Intelligence (BI) tools such as Tableau, Power BI, and QlikView. 22. Data Governance and Security:Understanding data governance principles, data quality management, and metadata management. 23. Knowledge of data security best practices, compliance standards (e.g., GDPR, HIPAA), and data masking techniques. 24. Big Data Technologies:Experience with big data platforms and tools such as Hadoop, Spark, and Apache Kafka. 25. Understanding distributed computing and data processing frameworks. Additional Info1. A minimum of 15-18 years of progressive information technology experience is required. 2. This position is based at Bengaluru location. 3. A 15 years full-time education is required. 4. AWS Certified Data Engineer Associate / Microsoft Certified:Azure Data Engineer Associate / Google Cloud Certified Professional Data Engineer certification is mandatory Qualification 15 years full time education

Position : Database Developer (Oracle). Location : BKC, Mumbai Experience : 7+ years. Joining : Immediate Key Responsibilities : Design and develop Oracle databases for migration projects Plan and execute ETL-based data migration Optimize stored procedures and database performance Work with cross-functional teams including QA, BAs, and DBAs Ensure data security, compliance, and documentation Required Skills : SQL, PL/SQL, Oracle 19c Strong experience in database design, migration, and tuning Hands-on with ETL processes and tools Interested candidates can share resumes on priyanka.rane@cmss.in

Skills SQL Developer Experience 4+ Years Location - Pune Notice Period Immediate to 15 Days Employee type Contract to Hire SQL Developer with cloud experience. JD SQL Server Developer, T-SQL, SSIS, SSRS, PowerShell, Microsoft Azure, Dev Ops

Experience: 4+ Years Skill : IBM Integration Bus (IIB) Consultant Location: Mumbai Notice Period: Immediate . Employment Type: Contract Job Description IBM Integration Bus (IIB) Consultant Proven experience in migrating integration solutions from IBM Integration Bus (IIB) to RESTful APIs. Strong expertise in RESTful API design, development, and implementation. Proficiency in API management tools and frameworks. Solid understanding of integration patterns, data mapping, and transformation. Good knowledge in SAP PI/PO development, including designing and developing integrations, configuring interfaces, and managing message flows. Experience in SAP CPI, including designing and developing integrations and configuring integration flows.

Skills: Oracle Database, Postgres, Database design Secondary Skills: Data modelling, Performance Tuning, ETL processes, Automating Backup and Purging Processes Skill Justification Database Designing, Data Modelling, and Core Component Implementation: These are fundamental skills for a DBA. Database designing involves creating the structure of the database, data modelling is about defining how data is stored, accessed, and related, and core component implementation ensures that the database is set up correctly and efficiently. Data Integration and Relational Data Modelling: Data integration is crucial for combining data from different sources into a unified view, which is essential for accurate reporting and analysis. Relational data modelling helps in organizing data into tables and defining relationships, which is a core aspect of managing relational databases. Optimization and Performance Tuning: Optimization and performance tuning are critical for ensuring that the database runs efficiently. This involves analyzing and improving query performance, indexing strategies, and resource allocation to prevent bottlenecks and ensure smooth operation. Automating Backup and Purging Processes: Automating backup and purging processes is vital for data integrity and storage management. Regular backups protect against data loss, while purging old or unnecessary data helps maintain database performance and manage storage costs.

POSITION OVERVIEW We are seeking an experienced and results-driven Enterprise Architect primarily covering .NET to design, develop, and implement scalable, high-performance software solutions. The ideal candidate will have a deep understanding of the Enterprise Applications covering .NET ecosystem, including ASP.NET Core, RESTful services, SQL Server, and cloud technologies like Azure. This role also involves exploring emerging technologies like Python, Generative AI, and Microsoft Power Platform to drive innovation and deliver cutting-edge solutions. Responsible for defining architectural patterns, database architecture, coding and building the solutions and applications, ensuring alignment between technical roadmap and business objectives. POSITION GENERAL DUTIES AND TASKS : Job Summary: We are seeking an experienced and results-driven Enterprise Architect primarily covering .NET to design, develop, and implement scalable, high-performance software solutions. The ideal candidate will have a deep understanding of the Enterprise Applications covering .NET ecosystem , including ASP.NET Core , RESTful services , SQL Server , and cloud technologies like Azure . This role also involves exploring emerging technologies like Python , Generative AI , and Microsoft Power Platform to drive innovation and deliver cutting-edge solutions.Responsible for defining architectural patterns, database architecture, coding and building the solutions and applications, ensuring alignment between technical roadmap and business objectives.