1361 Data Governance Jobs - Page 3

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Preferred technical and professional experience Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

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

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Preferred technical and professional experience Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

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 : Informatica MDM Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Advanced Application Engineer, you will develop innovative technology solutions for emerging industries and products. Your typical day will involve interpreting system requirements into design specifications, collaborating with various teams to ensure alignment on project goals, and actively participating in problem-solving discussions to enhance project outcomes. You will engage in continuous learning to stay updated with industry trends and technologies, ensuring that your contributions are both relevant and impactful. 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 Informatica MDM.- Strong understanding of data integration and data quality management.- Experience with data modeling and metadata management.- Familiarity with ETL processes and data warehousing concepts.- Ability to troubleshoot and resolve technical issues related to MDM. Additional Information:- The candidate should have minimum 5 years of experience in Informatica MDM.- This position is based in Hyderabad.- 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 : Databricks Unified Data Analytics Platform, Engineering Expertise, Data Lakehouse Development Good to have skills : Google BigQueryMinimum 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 shaping the direction of application projects and ensuring that they meet the needs of the organization and its clients. 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 Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Google BigQuery.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data solutions and architecture.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- 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 : Informatica MDM Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Advanced Application Engineer, you will develop innovative technology solutions for emerging industries and products. Your typical day will involve interpreting system requirements into design specifications, collaborating with various teams to ensure that the solutions meet the needs of the business, and continuously seeking ways to enhance the technology landscape. You will engage in problem-solving activities, ensuring that the solutions you design are not only effective but also scalable and sustainable for future needs. Your role will require a blend of creativity and technical expertise to drive projects forward and deliver high-quality results. 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.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica MDM.- Good To Have Skills: Experience with data integration tools and techniques.- Strong understanding of data governance principles and practices.- Experience in designing and implementing data models.- Familiarity with ETL processes and data warehousing concepts. Additional Information:- The candidate should have minimum 7.5 years of experience in Informatica MDM.- 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 Master Data Governance MDG Tool Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : Any graduation or 15-year fulltime 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 stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Additionally, you will monitor project progress, address any challenges that arise, and facilitate communication among team members to maintain alignment and efficiency in the workflow. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Assist in the development of best practices and standard operating procedures. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application design and configuration.- Ability to troubleshoot and resolve application-related issues.- Familiarity with project management methodologies. Additional Information:- The candidate should have minimum 3 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Pune office.- Any graduation or 15-year fulltime education is required. Qualification Any graduation or 15-year fulltime 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 Master Data Governance MDG Tool 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 day will involve overseeing the application development process and ensuring seamless communication among team members and stakeholders. 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- Lead the application development process- Ensure effective communication among team members and stakeholders- Identify and address any issues or roadblocks in the project Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool- Strong understanding of data governance principles- Experience in configuring and customizing SAP MDG Tool- Knowledge of data modeling and data quality management- Hands-on experience in data migration and data cleansing Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Master Data Governance MDG Tool- This position is based at our Pune 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 Purview Good to have skills : Collibra Data GovernanceMinimum 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 standards and specifications while fostering a collaborative environment for your team. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Purview.- Good To Have Skills: Experience with Collibra Data Governance.- Strong understanding of data governance frameworks and best practices.- Experience in application design and architecture.- Proficient in project management methodologies and tools.- Ability to analyze complex data sets and derive actionable insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Purview.- This position is based in Mumbai.- 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 : Microsoft Azure Data Services Good to have skills : Microsoft Azure DatabricksMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your role involves creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. Roles & ResponsibilitiesData Integration:Develop and implement data pipelines using Azure Data Factory, Azure Fabric, and MDMF(Meta data Management framework) to ingest, transform, and store data from various sources. Data Modeling:Maintain data models, ensuring data quality and consistency across different databases and systems. Database Management:Manage Azure SQL Databases and other storage solutions to optimize performance and scalability. ETL Processes:Design and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and availability for analytics and reporting. Collaboration:Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide actionable insights. Documentation:Maintain clear documentation of data architectures, data flows, and pipeline processes. Professional & Technical Skills: Proficiency in Azure services such as Azure Data Factory,Azure Fabric, MDMF Azure SQL Database. Good knowledge of SQL and experience with programming languages such as Python and Pyspark. Familiarity with data modeling techniques and data warehousing concepts. Experience with cloud architecture and data architecture best practices. Understanding of data governance and security principles. Excellent problem-solving skills and attention to detail. Strong communication skills for collaborating with technical and non-technical stakeholders. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft Azure 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 : 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

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 : 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 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. 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.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with data warehousing solutions.- Strong understanding of ETL processes and tools.- Familiarity with data governance and data quality frameworks.- Experience in programming languages such as Python or SQL for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. 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 a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and industry standards, facilitating seamless data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes. 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 workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and design processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with data governance frameworks.- Strong understanding of relational and non-relational database systems.- Familiarity with data warehousing concepts and ETL processes.- Experience in using data modeling tools such as Erwin or IBM InfoSphere Data Architect. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Pune.- A 15 years full time education is required.-Must have skills-Snowflake Data Vault 2.0 Modeler Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also participate in discussions to ensure that the data models align with the overall data strategy and architecture, facilitating seamless data integration and accessibility across 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 sessions for junior team members to enhance their understanding of data modeling.- Continuously evaluate and improve data modeling processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling concepts and best practices.- Experience with ETL processes and data integration techniques.- Familiarity with data governance and data quality frameworks.- Ability to communicate complex data concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also participate in discussions to ensure that the data models align with the overall data strategy and architecture, facilitating seamless data integration and accessibility across 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 sessions for junior team members to enhance their understanding of data modeling.- Continuously evaluate and improve data modeling processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling concepts and best practices.- Experience with ETL processes and data integration techniques.- Familiarity with data governance and data quality frameworks.- Ability to communicate complex data concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Job Title : Knowledge Anchor Designation : A/SA Program : Support Process : CO_KM Shift Details : Night Shit(Rotational) Detailed Job/ Role Description: Would be responsible for conducting onboarding, refresher and continual training program for front line and managerial workforce Would be required to adhere to internal training and documentation processes Risk Mitigation Risk Evaluation by conducting periodic audits Process Documentation / Update [BPD, Checklist, Metadata, Training Docs, SOP] Change Management The candidate would be responsible training new hire employees and conduct refresher training for on-floor employees The candidate would be responsible for driving performance of employees falling under the vintage of 0-90 days post certification Monitor calls/chats on Communication, Soft Skills, Process and Compliance Parameters Provide Coaching & Feedback to enhance agent performance Participate in calibrations to ensure consistent scoring & feedback delivery approach Keep the reps updated on new process changes/updates, improvement initiatives Prepare and implement the action plans post analyzing audit data, compliance reports, communication & Process related data points Essential skill-set required: Excellent communication skills (both verbal and written) Eye for detail Excellent facilitation skills Excellent execution skills Analytical Thinking and Problem Solving Knowledge of MS Excel, MS Word, MS PowerPoint and MS Visio Willing to take charge and initiative as per business requirements The candidate should be aware of various learning methodologies which would help the candidate in handling different types of learners Candidate should have knowledge about methodologies used for designing content Candidate should be aware of methodologies to check knowledge retention and evaluate overall training performance Candidate should have undergone and cleared one TTT mode Work experience required: The candidate should possess minimum of 2 years of experience in the same field Formal Qualifications: Basic Graduate or above Basic knowledge of computer Working knowledge of Excel, Word and PowerPoint

RESOURCE REQUIREMENT: SAP MDM Specialist Location: Remote Duration: 3 to 6 Months (Contract) Shift Timings: 3:30 PM to 12:30 AM IST Job Summary: Were hiring an experienced SAP MDM Specialist to support master data governance initiatives, ensure high data quality, and contribute to SAP S/4HANA data projects. This role is critical to maintaining the integrity and lifecycle of business-critical master data. Key Responsibilities: Create, update, and maintain SAP master data (e.g., vendor, customer, material, product) Monitor data consistency, accuracy, and resolve issues such as duplicates or missing fields Define and enforce data governance standards and procedures Collaborate with business units (Finance, Sales, Procurement) to meet data needs Configure and maintain SAP MDM/MDG functionality and workflows Conduct data validation, error prevention, and support system enhancements Manage data migration activities during upgrades or implementation Define interfaces to integrate SAP with external systems and tools Create reports and dashboards for data quality KPIs and compliance monitoring Contribute to audit preparation and ensure regulatory data compliance Identify and lead process automation and optimization initiatives Provide training and documentation to business and technical stakeholders Qualifications Required: Minimum 5 years of hands-on experience in SAP MDM/MDG Proficiency in SAP ECC and S/4HANA environments Familiarity with tools like LSMW, SAP Data Services, ETL, SQL, Excel Understanding of key SAP modules (MM, SD, FI) and their master data relationships Bachelors in IT, Data Management, or related field Preferred Qualifications: SAP Certification in MDM or MDG Experience with Informatica, BODS, or other migration tools Domain knowledge in manufacturing, finance, pharma, or beverage industries Exposure to data lifecycle management and retention policies Soft Skills: High attention to detail and data accuracy Strong communication and cross-functional collaboration skills Ability to work independently and proactively Solution-driven mindset with continuous improvement attitude Were hiring for a Remote SAP MDM Specialist on a 6-month contract. Must have 5+ yrs of experience in SAP MDM/MDG & data migration. If youre available or know someone who fits, please connect or DM.

We're Hiring: Business Process Analyst Data & Governance Focus Location: Vijayawada Experience: 5-10 Years | Type: Full-Time | Industry: Business Process Management, Data Governance, Public Sector Projects Are you skilled in mapping and optimizing complex workflows? Do you have experience aligning business processes with large-scale data systems? We're looking for a detail-oriented Business Process Analyst to join our growing team. Role Overview As a Business Process Analyst, you'll work closely with data, governance, and technical teams to improve process efficiency, ensure consistency in data handling, and drive cross-functional automation initiatives. Key Responsibilities Analyze, document, and optimize business processes related to data management and data lakes Develop and maintain Standard Operating Procedures (SOPs) for metadata creation and data dictionary usage Oversee workflows related to data receipt, cleaning, normalization, and ETL automation Identify and resolve bottlenecks in data collection, interoperability, and sharing mechanisms Required Skills Expertise in business process modeling and workflow automation Experience with data governance frameworks and ETL workflows Understanding of government/public sector workflows and data policies Proficiency in tools like Microsoft Visio, Lucidchart, or enterprise process mapping platforms Preferred Certifications Lean Six Sigma (Green Belt or Black Belt) CBPP Certified Business Process Professional PRINCE2 or PMP – Project Management Certifications

Job Title: Data Governance Specialist - Collibra - 5+ Years - Bangalore (Hybrid) Are you an experienced Data Governance Specialist with Collibra expertise? We are looking for a talented individual to join our team in Bangalore. In this role, youll be responsible for implementing data governance methodologies, managing metadata, and ensuring data quality across GBS systems. If you have a passion for data governance and are looking to work in a global organization, this is the opportunity for you. Location: Bangalore, India (Hybrid) Shift: 3:00 PM - 12:00 AM IST Cab: Available Notice Period: 30 days to 40 days Your Future Employer: Be part of a dynamic global organization where innovation meets excellence. Youll be joining a team that thrives on collaboration, creativity, and forward-thinking solutions. With a strong focus on quality and continuous improvement, this is your chance to contribute to transformative projects that make a real-world impact. Embrace an exciting career journey where your skills will not only grow but help shape the future of the industry, all while working with talented professionals from across the globe Responsibilities: Implementing data governance methodology, prioritizing data elements and defining business definitions. Loading metadata into Collibra and maintaining the data catalog. Defining and implementing data governance policies, standards, and processes. Mentoring team members and stakeholders on Collibra best practices. Performing data profiling to identify quality issues and conducting root cause analysis. Documenting technical attributes, business descriptions, and data lineage. Collaborating with cross-functional teams to ensure data governance practices are followed. Requirements: Bachelor's degree 3+ years of experience working with Collibra Proficiency in SQL and data analysis tools Strong understanding of data governance, data privacy, and security principles Experience with metadata management and foundational source systems Agile delivery experience (user stories, sprint planning, UAT) Excellent communication and collaboration skills Ability to stay updated on industry trends and technologies What's in it for you: Competitive compensation package Work in an innovative, quality-driven, and collaborative environment Opportunities for career growth and skill development Be part of a global organization with a strong presence in multiple countries

Lead the technical design and architecture of Informatica Data Management and Data Integration platforms, ensuring alignment with customer requirements, industry best practices, and project objectives.oConduct reviews, ensure adherence to coding standards and best practices, and drive continuous improvement in code quality and performanceoExpertise in Finetuning the slow performance of Data Integration jobs or workflows.Development and Support of Data Ingestions using various integrations patterns including (but not limited to) Informatica IICS, SFTP, Rest API based frameworks.Support of Data Governance capability on Informatica Cloud Data Governance and CatalogoMonitor and optimise platform performance and resource usageoImplement CI/CD pipelines for integration workflowsoStrong communication and presentation skills

As aProduct Data Manager, you will be responsible for ensuring the quality, consistency, and accessibility of product data across various platforms. You will assist the Senior Product Data Manager in implementing best practices in data governance and maintaining streamlined workflows. This role requires an individual who is organized, detail-oriented, and capable of collaborating with global teams to ensure product data effectively supports the clients digital marketing initiatives. Your contributions will directly impact the success and efficiency of marketing campaigns within the CPG sector. General Responsibilities / Accountabilities Product Data ManagementOrganize, maintain, and update product data in the Product Information Management (PIM) system, ensuring it aligns with marketing goals and is easily accessible for teams. Data Quality AssuranceConduct regular audits of product data to ensure its accuracy, completeness, and consistency across platforms. Identify and resolve discrepancies to maintain high-quality data. Cross-Functional CollaborationWork with internal teams (Marketing, IT, Content) and the Senior Product Data Manager to support data integration and ensure alignment of product data with marketing objectives. Support Data GovernanceAssist in enforcing data governance policies and best practices to ensure product data integrity and compliance with internal standards. System Integration SupportHelp manage the integration of product data into various digital marketing platforms, ensuring smooth data flow and optimizing automation processes. Reporting & Analytics SupportAssist in creating and maintaining data reports and dashboards to monitor product data performance, providing actionable insights for optimization. Process ImprovementContribute to continuous improvement of data management processes, collaborating with the Senior Product Data Manager to identify opportunities for workflow optimization and automation. Training & DocumentationAssist in documenting data management processes, guidelines, and best practices. Provide training and support to internal teams to ensure data is managed correctly across platforms. Issue ResolutionActively identify product data issues and work with cross-functional teams to address and resolve them, minimizing any disruptions to marketing activities. Ad Hoc SupportProvide additional support as needed for special projects related to product data and digital marketing initiatives. Skills needed but not limited to ExperienceMinimum of 4-6 years of experience in product data management, marketing operations, or related fields, with a strong focus on managing product data in a digital marketing or e-commerce context. CPG ExperiencePrevious experience in the Consumer Packaged Goods (CPG) sector or a similar industry, with a strong understanding of how product data supports marketing efforts. Technical ProficiencyExperience working with Product Information Management (PIM) systems and familiarity with other marketing technology stacks. Basic knowledge of data integration and flow automation is a plus. Attention to DetailStrong focus on maintaining data accuracy and consistency across systems, with the ability to identify and resolve data issues. Communication & CollaborationExcellent communication skills, with the ability to work effectively with internal and external stakeholders, translating data-related issues into actionable solutions. Problem-SolvingStrong problem-solving skills with the ability to troubleshoot and resolve product data challenges in a timely and effective manner. Project ManagementStrong organizational skills and the ability to manage multiple tasks and deadlines while maintaining a high level of attention to detail. AdaptabilityAbility to quickly learn new tools and processes, and adapt to evolving product data management needs within a fast-paced, dynamic environment. EducationBachelors degree in Marketing, Information Technology, Business Administration, or a related field (or equivalent experience).

Immediate Openings on SAP MDG Consultant Experience 5+ Skills - SAP MDG Consultant Location - PAN INDIA Notice Period - Immediate. SAP MDG Consultant 5+ years of relevant experience SAP MDG functional and customizing experience in one or more of the following Master Data Domains like Business Partner, Material Master. Designing MDG solution for the collected Business Requirements Collaboration with operational teams, data owners, and partners help to ensure the understanding and alignment of E2E data governance processes Drive the implementation of process improvements through the introduction of appropriate Actively works with the cross-divisional teams to reduce master data defects and develop processes that reduce non-value-added work Translates detailed business requirements to IT organization and manages changes to such specifications Develop data governance metrics and data accuracy metrics Monitors key performance indicators to ensure data quality and accuracy Please Share below details and Updated Resume Matched Yes/No Full Name with Surname DOB Adhacard No(Mandatory) Alternate Contact Number Total Experience Relevant Experience Current Location Preferred Location Current CTC Expected CTC Current Organization Permanent Contract with Current Org Payroll Company Notice period Passport/ Expiry Date Holding any offer YES/NO