4985 Data Governance Jobs - Page 35

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. 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 implement efficient Ab Initio applications.- Collaborate with cross-functional teams to analyze and address application requirements.- Troubleshoot and resolve application issues in a timely manner.- Stay updated on industry trends and best practices in application development.- Provide mentorship and guidance to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of ETL processes and data integration.- Experience with data quality management and data governance.- Knowledge of SQL and database management systems.- Good To Have Skills: Experience with data modeling and data warehousing. Additional Information:- The candidate should have a minimum of 3 years of experience in Ab Initio.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Microsoft Azure Data Services Good to have skills : Data Engineering, Microsoft Power Business Intelligence (BI), Python (Programming Language)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various stakeholders to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise during the development process. Your role will be pivotal in ensuring that the data architecture is robust, scalable, and capable of supporting the applications needs. 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.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Good To Have Skills: Experience with Data Engineering, Microsoft Power Business Intelligence (BI), Python (Programming Language).- Strong understanding of data modeling techniques and best practices.- Experience with cloud-based data storage solutions and integration methods.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in ensuring the smooth functioning of applications. 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 cross-functional teams to analyze, design, and develop new features for applications.- Implement and maintain application software while adhering to coding standards and best practices.- Troubleshoot and debug applications to optimize performance and ensure seamless operation.- Stay updated with emerging technologies and trends in application development.- Provide technical guidance and support to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of ETL processes and data integration.- Experience in developing and implementing data processing solutions.- Knowledge of data warehousing concepts and methodologies.- Hands-on experience with data quality and data governance practices. Additional Information:- The candidate should have a minimum of 3 years of experience in Ab Initio.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 2 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 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, providing insights and solutions to enhance application performance and user experience. Your role will require you to stay updated with the latest technologies and methodologies to ensure the applications are built to the highest standards. 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.- Mentor junior professionals to foster their growth and development. 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 issues effectively.- Familiarity with integration processes and data management. Additional Information:- The candidate should have minimum 2 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Python (Programming Language) Good to have skills : NAMinimum 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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of 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.- Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of data pipeline architecture and ETL processes.- Experience with data quality frameworks and data governance practices.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of database management systems and data warehousing concepts. Additional Information:- The candidate should have minimum 5 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture, ensuring that the solutions you develop are scalable and efficient. 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.- Assist in the design and implementation of data models that meet business needs.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of ETL processes and data integration techniques.- Experience with data warehousing concepts and best practices.- Familiarity with data quality frameworks and data governance principles.- Knowledge of database management systems and SQL. Additional Information:- The candidate should have minimum 3 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

About The Role 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 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 aligned with business needs and technical specifications, while fostering a collaborative environment that encourages innovation and efficiency. 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 milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Management & Architecture.- Good To Have Skills: Experience with SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience in application design and architecture.- Proficient in data modeling and data integration techniques. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP Master Data Management & Architecture.- This position is based at our Chennai office.- A Technical education is required. Qualification 15 years full time education

About The Role 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. 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 foster a productive work environment. 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.- Mentor junior team members to support their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data governance and compliance standards.- Ability to work with large datasets and perform data analysis.- Must have Experience in Microsoft Azure is mandatory Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

DAV Sr. Secondary school, Mogappair is looking for CDT - Music Professional to join our dynamic team and embark on a rewarding career journey Cataloging and Classification:Catalog music materials, including sheet music, audio recordings, and multimedia resources, following standardized cataloging rules (eg, MARC format) Classify and assign appropriate subject headings to ensure accurate and efficient retrieval Database Management:Maintain and update the music database, including adding new acquisitions and removing outdated or obsolete materials Ensure data accuracy and consistency across the music catalog Metadata Creation:Create descriptive metadata for music materials, including composer, performer, genre, and other relevant information Enhance metadata records to provide comprehensive information for users Digital Resources:Manage digital resources related to music, including digital scores, audio files, and multimedia content Ensure proper storage, organization, and accessibility of digital music materials User Assistance:Assist library users in locating and accessing music materials, both physically and digitally Provide guidance on the use of the music catalog and databases Collection Development:Collaborate with librarians and collection development teams to assess the needs of the music collection Recommend additions or removals based on usage patterns and collection development policies Technical Support:Provide technical support for music-related software and systems used for cataloging and database management Troubleshoot and resolve issues related to music catalog access Collaboration:Collaborate with other library staff and departments to integrate music resources into broader library services Participate in library committees and projects as needed

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. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 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. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. 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.

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You will develop intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will use different distributed storage and computing technologies from the plethora of options available. You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will collaborate with the team on the areas of data governance, data security and data privacy. You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. You have experience in writing clean, high-quality code using the preferred programming language. You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. You have experience with data visualization techniques and can communicate the insights as per the audience. You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). Familiar with AWS RDS, Redshift, Glue, Dagster - Good to have: General AWS knowledge, SageMaker, Qlik or QuickSight, Talend, Terraform. Python coding experience is a must. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions You will develop intricate data processing pipelines, addressing clients' most challenging problems You will collaborate with data scientists to design scalable implementations of their models You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines You will use different distributed storage and computing technologies from the plethora of options available You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack You will collaborate with the team on the areas of data governance, data security and data privacy You will incorporate data quality into your day-to-day work Job qualifications Technical Skills Advancend English is required You must have experience with GCP Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems You have hands-on experience of data modeling and modern data engineering tools and platforms You have experience in writing clean, high-quality code using the preferred programming language You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting You have experience with data visualization techniques and can communicate the insights as per the audience You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.) Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

Role & responsibilities We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a passion for building and optimizing robust data pipelines, managing real-time data flows, and developing solutions that drive data-driven decision-making. If you thrive in a fast-paced environment and are eager to tackle complex data challenges, we want to hear from you! Role and Responsibilities: Design, develop, and maintain scalable and high-performance ETL/ELT pipelines for batch and real-time data processing from diverse sources. Develop and implement APIs and webhooks for seamless and secure data ingestion and consumption by various internal and external systems. Champion real-time data management strategies, including stream processing, ensuring low latency and high availability of data for critical applications. Utilize advanced Python programming skills (including asynchronous programming and custom library development) to build efficient data transformation, validation, and enrichment logic. Work extensively with cloud platforms (preferably AWS) to architect and manage data infrastructure, including services like AWS Kinesis/Kafka, Lambda, Glue, S3, Redshift/Snowflake, and API Gateway. Implement and manage data warehousing solutions, ensuring optimal performance and accessibility for analytics and reporting. Develop and maintain robust data quality frameworks and monitoring systems to ensure data accuracy, completeness, and consistency across all pipelines. Optimize existing data workflows and database queries for enhanced performance and efficiency, aiming for significant improvements in data processing times and resource utilization. Collaborate with data scientists, analysts, software engineers & business stakeholders to understand data requirements and deliver effective data solutions. Implement data governance and security best practices to ensure data is handled responsibly and in compliance with relevant regulations. Contribute to the design and implementation of data models for both transactional (OLTP) and analytical (OLAP) systems. Explore and integrate new data technologies and tools to enhance our data capabilities. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 2-5 years of hands-on experience as a Data Engineer or in a similar role. Expert proficiency in Python for data engineering tasks (e.g., Pandas, PySpark, data manipulation libraries) and experience with software development best practices (version control, testing, CI/CD). Proven experience in designing, building, and deploying real-time data pipelines using technologies like Kafka, AWS Kinesis, Apache Flink, or similar. Strong experience in creating, deploying, and managing RESTful APIs and webhooks for data exchange, with a focus on security and scalability. In-depth knowledge of SQL databases (e.g., PostgreSQL, MySQL, Mongo DB, Dynamo DB). Hands-on experience with cloud data services (AWS, Azure, or GCP) . Specific AWS experience with Glue, Lambda, S3, EC2, RDS, and API Gateway is highly desirable. Solid understanding of data warehousing concepts, ETL/ELT processes, and data modelling techniques. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is a plus. Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment. Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of machine learning concepts and MLOps. Contributions to open-source data engineering projects. Relevant certifications (e.g., AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You will develop intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will use different distributed storage and computing technologies from the plethora of options available. You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will collaborate with the team on the areas of data governance, data security and data privacy. You will incorporate data quality into your day-to-day work. We value flexibility and collaboration, and therefore work in a hybrid model. Job qualifications Technical Skills Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems You have hands-on experience of data modeling and modern data engineering tools and platforms such as Airflow or Databricks You have experience in writing clean, high-quality code using the preferred programming language You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting using Snowflake (must have) , Amazon S3, Azure Data Lake, Spark and/or Flink You have experience with data visualization techniques and can communicate the insights as per the audience You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.) Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They support functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will collaborate with team members to design intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will apply different standard models for big data and create data models for at least one type of modeling technique. You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills You have hands-on experience of data modeling and modern data engineering tools and platforms. You have experience in writing clean, high-quality code using the preferred programming language. You have awareness in building data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. You have knowledge of data visualization techniques and can communicate the insights as per the audience. You are aware of data governance, security and privacy strategy to solve business problems. You have experience with different types of databases (i.e.: SQL, NoSQL, etc.). Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

Architect and modernize enterprise data platforms.Lead initiatives on Data Lake, EDW, and Data as a Service.Implement governance, data quality, and security strategies.Guide migration and API integration for scalability. Required Candidate profile Provide leadership and mentoring to data engineering teams. Location - Pan India.

We are Hiring: Data & Records Governance Roles -Pune UK Captive Bank Roles Available: Assistant Vice President (Data & Records Governance Lead) Pune | Up to 23 LPA | 7+ years experience Data Governance Analyst Pune | Up to 13.50 LPA | 4+ years experience What youll do: Build and maintain Data & Records Governance Frameworks aligned with laws, regulations, and best practices. Drive data quality, compliance, and risk management . Support governance strategy across customer, financial, and internal records. Collaborate across functions to deliver trusted, secure data for the business. What were looking for: Proven expertise in Data Governance, Quality, and Risk Management. Knowledge of data architecture, integration, analytics, AI, or cloud computing. For AVP: hands-on experience with data governance frameworks, Quality and risk management and strong leadership skills to guide teams, influence stakeholders, and drive change. For Analyst: hands-on experience with data governance frameworks, Quality and risk management. For details call at 9368820159 or email resume to sakshi.n@manningconsulting.in

Role: Data Governance - Cloud Data Quality(CDQ) Experience: 3+yrs Mode of work: Remote Notice period: Only 15-30days Package: 10LPA Max Strong hands-on experience with Informatica Cloud Data Quality (CDQ) Data Quality Rule Design and Implementation Proficiency in data profiling, cleansing, standardization, and data verification. Solid understanding of data governance and data management principles.\ Experience with ETL processes and data integration. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Knowledge of SQL and database management systems. Familiarity with CDGC preferred Azure experience required. Strong communication skills oral and written.

Role & responsibilities We are seeking a hands-on Data Engineer to develop, optimize, and maintain automated data pipelines supporting data governance and analytics initiatives. This role will focus on building production-ready workflows for ingestion, transformation, quality checks, lineage capture, access auditing, cost usage analysis, retention tracking, and metadata integration, primarily using Azure Databricks , Azure Data Lake , and Microsoft Purview . Experience: 4+ years in data engineering, with strong Azure and Databricks experience Key Responsibilities Pipeline Development Design, build, and deploy robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata from multiple sources landed in Databricks. Granular Data Quality Capture Implement profiling logic to capture issue-level metadata (source table, column, timestamp, severity, rule type) to support drill-down from dashboards into specific records and enable targeted remediation. Governance Metrics Automation Develop data pipelines to generate metrics for dashboards covering data quality, lineage, job monitoring, access & permissions, query cost, usage & consumption, retention & lifecycle, policy enforcement, sensitive data mapping, and governance KPIs. Microsoft Purview Integration Automate asset onboarding, metadata enrichment, classification tagging, and lineage extraction for integration into governance reporting. Data Retention & Policy Enforcement Implement logic for retention tracking and policy compliance monitoring (masking, RLS, exceptions). Job & Query Monitoring – Build pipelines to track job performance, SLA adherence, and query costs for cost and performance optimization. Metadata Storage & Optimization – Maintain curated Delta tables for governance metrics, structured for efficient dashboard consumption. Testing & Troubleshooting – Monitor pipeline execution, optimize performance, and resolve issues quickly. Collaboration – Work closely with the lead engineer, QA, and reporting teams to validate metrics and resolve data quality issues. Security & Compliance – Ensure all pipelines meet organizational governance, privacy, and security standards. Required Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field 4+ years of hands-on data engineering experience, with Azure Databricks and Azure Data Lake Proficiency in PySpark , SQL , and ETL/ELT pipeline design Demonstrated experience building granular data quality checks and integrating governance logic into pipelines Working knowledge of Microsoft Purview for metadata management, lineage capture, and classification Experience with Azure Data Factory or equivalent orchestration tools Understanding of data modeling, metadata structures, and data cataloging concepts Strong debugging, performance tuning, and problem-solving skills Ability to document pipeline logic and collaborate with cross-functional teams Preferred Qualifications Microsoft certification in Azure Data Engineering Experience in governance-heavy or regulated environments (e.g., finance, healthcare, hospitality) Exposure to Power BI or other BI tools as a data source consumer Familiarity with DevOps/CI-CD for data pipelines in Azure Experience integrating both cloud and on-premises data sources into Azure