Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs.Skilled in bridging technical governance with business and compliance goals.
What youll do Following are high level responsibilities that you will play but not limited to: Analyse Business Requirements. Analyse the Data Model and do GAP analysis with Business Requirements. Design Data Warehouse/Business Intelligence schema. Transformation of Data in Power BI/Tableau/SQL/ETL Tool. Create Reports, and Dashboards. Able to write calculated formulas. Experience writing SQL Queries and stored procedures. Design effective business intelligence solutions based on business requirements. Manage a team of Business Intelligence developers and guide their work. Integrate data from various sources into Business Intelligence tool for analysis. Optimize performance of reports and dashboards for smooth usage. Collaborate with stakeholders to align Power BI/Tableau projects with goals. Knowledge of Data Warehousing(must), Data Engineering is a plus
What youll do Leading requirement-gathering and digital transformation consulting sessions with clients Driving process analysis and documentation Leading ongoing reviews of business processes and developing optimization strategies. Collaborating closely with development teams Preparing solution documentation, KPIs, and functional specifications Collaborating with Presales and sales for proposal building and demos. Building case studies and use cases etc., in line with annual strategic and sales initiatives. Ensuring solutions meet business needs and requirements. Experience in UAT testing. Updating, implementing, and maintaining procedures. Prioritizing initiatives based on business needs and requirements. What youll bring A bachelors degree in B. Tech or B. Tech and MBA (preferred) 3-5 years of experience in business analysis. Detail oriented, analytical and inquisitive. Ability to work independently and with others. Extremely organized with strong time-management skills.
Key Responsibilities: Lead and mentor a team of data engineers, fostering a high-performance and collaborative culture. Design, build, and optimize scalable, robust, and secure ETL/ELT pipelines for data ingestion, transformation, and integration from various sources. Oversee the development and maintenance of data lakes , data warehouses , and real-time streaming data platforms . Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver reliable data solutions. Ensure high data quality, data governance, and adherence to privacy and compliance standards (GDPR, HIPAA, etc.). Establish best practices in data architecture, engineering, and DevOps processes. Evaluate and implement new tools and technologies to improve efficiency and scalability. Monitor and improve data pipeline performance and cost-efficiency in cloud or hybrid environments. Define and track KPIs related to data engineering performance and reliability. Own the roadmap for data engineering initiatives and align it with business and technical goals. Qualifications and Requirements: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. 7+ years of experience in data engineering or data platform development. 2+ years of experience in a technical leadership or management role. Strong programming skills in Python, Java, or Scala . Proficient in SQL and working with large-scale structured and unstructured data. Deep experience with modern data tools and platforms such as: Apache Spark, Kafka, Airflow Snowflake, Redshift, BigQuery, or Databricks Data modeling tools and data cataloging systems Hands-on experience with cloud platforms (AWS, Azure, GCP) and data services. Experience with CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code. Excellent problem-solving, communication, and stakeholder management skills.
Required Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 812 years of experience, with at least 4 years in a project management or Scrum Master role, and prior experience as a software developer. Strong command over at least one programming language or framework (e.g., Java, .NET, Python, JavaScript, etc.). Deep understanding of system architecture, APIs, and development pipelines. Certified Scrum Master (CSM), PMI-ACP, or equivalent Agile certification is mandatory. Proficiency with project management tools such as Java, .NET, Python, JavaScript, or Azure DevOps. Strong stakeholder communication, team leadership, and problem-solving skills.
What we need BTech computer science or equivalent Minimum 10+ years of relevant experience in Java/J2EE technologies Experience in building back in API using Spring Boot Framework, Spring DI, Spring AOP Real time messaging integration using Kafka or similar framework Experience in at least one database: Oracle, SQL server or PostgreSQL Previous experience managing and leading high-performing software engineering teams.
What youll do Following are high level responsibilities that you will play but not limited to: Analyse Business Requirements. Analyse the Data Model and do GAP analysis with Business Requirements. Design Data Warehouse/Business Intelligence schema. Transformation of Data in Power BI/Tableau/SQL/ETL Tool. Create Reports, and Dashboards. Able to write calculated formulas. Experience writing SQL Queries and stored procedures. Design effective business intelligence solutions based on business requirements. Manage a team of Business Intelligence developers and guide their work. Integrate data from various sources into Business Intelligence tool for analysis. Optimize performance of reports and dashboards for smooth usage. Collaborate with stakeholders to align Power BI/Tableau projects with goals. Knowledge of Data Warehousing(must), Data Engineering is a plus
What Youll Bring: Bachelor degree in Computer Science, Engineering, or a related field, or equivalent work experience. Proven experience delivering high-quality web applications. Mandatory Skills: 3+ years of frontend development experience with React.js or Angular. 2+ years of experience working with Adobe Experience Manager (AEM). Strong knowledge of HTML5, CSS3, JavaScript, and TypeScript. Experience with AEM client libraries, Sightly (HTL), Sling models, and component development. Familiarity with RESTful APIs and JSON. Understanding of responsive design, cross-browser compatibility, and accessibility standards. Familiarity with Git, CI/CD pipelines, and Agile methodologies. Preferred Skills (Nice to Have): Experience integrating third-party APIs and headless CMS. Knowledge of Adobe Target, Analytics, or other Adobe Experience Cloud products. Exposure to backend technologies like Java or Python is a plus.
Key Responsibilities: Design, develop, test, and deploy robust and scalable applications using Java (8/11/17) and frameworks like Spring Boot, Hibernate, or JPA . Collaborate with architects, product owners, and other developers to deliver high-quality software solutions. Develop RESTful APIs and integrate third-party services or systems. Participate in architectural and design discussions, code reviews, and technical planning sessions. Mentor junior developers and support team knowledge sharing. Optimize application performance, security, and scalability. Troubleshoot and resolve application issues in development, test, and production environments. Contribute to continuous integration/continuous deployment (CI/CD) pipelines. Ensure adherence to coding standards, best practices, and development methodologies. Document system designs, code, and deployment processes. Qualifications and Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5+ years of experience in Java development, with a strong command of OOP and design patterns. Hands-on experience with Spring Framework (Core, Boot, Security, MVC, Data) . Experience with RESTful API development and integration . Solid understanding of relational databases (e.g., Oracle, PostgreSQL, MySQL) and SQL . Familiarity with front-end technologies (Angular, React, JavaScript) is a plus. Knowledge of Git , Maven/Gradle , Jenkins , and other build tools. Experience with microservices architecture and containerization (Docker, Kubernetes) preferred. Strong debugging, performance tuning, and unit testing skills (JUnit, Mockito). Excellent communication and interpersonal skills.
Requirements 10+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication.
Role & responsibilities :- Analyse Business Requirements. Analyse the Data Model and do GAP analysis with Business Requirements. Design Data Warehouse/Business Intelligence schema. Transformation of Data in Power BI/Tableau/SQL/ETL Tool. Create Reports, and Dashboards. Able to write calculated formulas. Experience writing SQL Queries and stored procedures. Design effective business intelligence solutions based on business requirements. Manage a team of Business Intelligence developers and guide their work. Integrate data from various sources into Business Intelligence tool for analysis. Optimize performance of reports and dashboards for smooth usage. Collaborate with stakeholders to align Power BI/Tableau projects with goals. Knowledge of Data Warehousing(must), Data Engineering is a plus.
Required Skills and Qualifications: 6+ years of professional experience in data analytics and data management. Extensive experience with Microsoft Purview. Strong analytical and problem-solving skills with a keen eye for detail. Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and concise manner. Bachelor degree in computer science, Information Technology, Data Science, or a related field. Experience or worked on: Information Protection Policies involving Data Classification, Sensitive Labels, Publish Labels, Auto-Labelling. Data Loss Prevention Policies. Insider Risk Management: Data Theft Policies and Data Leakage Policies. Communication Compliance. Information Barriers. Data Retention Policies. Records Management. Data catalog. Data lineage. Data Map. Data Profiling. Data Scan. Data registration for Data In Rest. Experiencein Creating Policy Documents: Data Sharing Policy. Information Protection Policy. Data access management Policy. Data breach policy etc. Experience in Creating Data catalog, Data lineage, Data Profiling, Data Map, Data Scan, Data registration for Data In Rest.
Roles and Responsibilities Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). Integrate Purview with data sources: Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule and monitor metadata scanning and classification jobs. Implement and maintain collection hierarchies aligned with data ownership. Design metadata ingestion workflows for technical, business, and operational metadata. Enrich data assets with business context: descriptions, glossary terms, tags. Synchronize metadata across tools using REST APIs, PowerShell, or ADF. Validate end-to-end lineage for datasets and reports (ADF Synapse Power BI). Resolve lineage gaps or failures using mapping corrections or scripts. Perform impact analysis to support downstream data consumers. Create custom classification rules for sensitive data (PII, PCI, PHI). Apply and manage Microsoft Purview sensitivity labels and policies. Integrate with Microsoft Information Protection (MIP) for DLP. Manage business glossary in collaboration with domain owners and stewards. Implement approval workflows and term governance. Conduct audits for glossary and metadata quality and consistency. Automate Purview operations using: PowerShell, Azure Functions, Logic Apps, REST APIs Build pipelines for dynamic source registration and scanning. Automate tagging, lineage, and glossary term mapping. Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.
Roles and Responsibilities Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). Integrate Purview with data sources: Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule and monitor metadata scanning and classification jobs. Implement and maintain collection hierarchies aligned with data ownership. Design metadata ingestion workflows for technical, business, and operational metadata. Enrich data assets with business context: descriptions, glossary terms, tags. Synchronize metadata across tools using REST APIs, PowerShell, or ADF. Validate end-to-end lineage for datasets and reports (ADF Synapse Power BI). Resolve lineage gaps or failures using mapping corrections or scripts. Perform impact analysis to support downstream data consumers. Create custom classification rules for sensitive data (PII, PCI, PHI). Apply and manage Microsoft Purview sensitivity labels and policies. Integrate with Microsoft Information Protection (MIP) for DLP. Manage business glossary in collaboration with domain owners and stewards. Implement approval workflows and term governance. Conduct audits for glossary and metadata quality and consistency. Automate Purview operations using: PowerShell, Azure Functions, Logic Apps, REST APIs Build pipelines for dynamic source registration and scanning. Automate tagging, lineage, and glossary term mapping. Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.