3 Metadata Governance Jobs

JOB DESCRIPTION: Job Title: BI Lead (Sr. ERP Consultant) Job Location: Hyderabad Experience: 13+ yrs of relevant experience Job Type: Full Time NP: Immediate to 30 Days Objectives and Responsibilities of the BI Lead: (A) As Business Intelligence Architecture: Over 15+ years of experience with architecting the data pipelines or data ingestion for both Batch/Streaming data from different sources to data warehouse/data lake; 7+ years working in AWS cloud Experience in designing and delivering data warehousing and analytics projects, including using cloud technologies such as EMR, Lambda, Cloud Storage, BigQuery, etc. Experience of at least 8 to 10 large projects building and optimising BigData pipelines, architectures and datasets Experience working on cloud platforms (AWS/Azure/GCP) and its architecture for data solutions Hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka and emerging technologies) Minimum of 5 years in Solution development experience with at least 3 years of Solution architecture Experience of working in HTML 5 , CSS3, PHP, Node JS Strong skillsets with web services including REST, SOAP, and API management. Experience with enterprise Data Integration technologies including ETL, XSLT, XML and JSON Working familiarity with web services including REST, SOAP, and API management. Working knowledge of Chat API and integrating it with external channels Experience in working with databases like SQL Server & writing complex SQL queries. Experience integrating custom and package products across complex enterprise environments. Experience with RedHat Linux, Windows Server Excellent Communication skills Deep analytical and problem-solving skill Project & resource management skills (B) As Business Intelligence Solution Manager: Propose architectural solutions to help move and improve infra and data from on-premise to cloud; experience in preparing tech specs document for large scale, complex architectures sol. Effectively strategies the migration of clients data using Google Cloud, AWS or other cloud technologies. Provide advisory and thought leadership on the provision of analytics environments leveraging Cloud-based platforms, big data technologies, including integration with existing data and analytics platforms and tools. Design and implement scalable data architectures leveraging Big Query, Hadoop, NoSQL and emerging technologies, covering on-premise and cloud-based deployment patterns. Provide Consulting and Solution support to customers during their data warehouse or data lake modernisation, especially in design and implementation of data-centric architectures. Proactively identify niche opportunity areas within data and analytics framework, and drive client discussions delivering presentations, demos and proofs-of-concept to showcase capabilities and transformation solutions. Manage team and handle delivery of 8-10 projects Be a thought leader around all things Data, reviewing current and future needs alongside the Executive Team. Strong leadership with the ability to collaborate across the organisation working with emerging technologies and guiding teams to deliver complex data solutions, standards, architectural governance, design patterns, and practices. Qualifications & Mandatory Skills: Bachelors / Master’s degree in computer science, Engineering or related field. Experience in R, python. 8+ years of experience on Azure, AWS or Google Cloud. 5+ years of experience with Big Data / Hadoop / Data Ingestion (Apache Spark, Hadoop, or Kafka). 5+ years of experience on metadata, governance. Hands-on experience in one or more Object-Oriented Programming languages (Java, Scala, Python) 10+ years of experience with Agile Methodologies Scrum, SAFe or Kanban. Ability to define data model and data storage strategies, including knowledge of distributed data systems. Expert level in building big data solutions. Hands-on experience building cloud scalable, real time and high-performance data lake solutions using AWS, Azure, EMR, S3, Hive & Spark, Athena Expertise in an agile and iterative model Expert level in relational SQL Experience with scripting languages such as Shell, Python, R and emerging technologies Experience with source control tools such as GitHub and related dev process Experience in Engineering and Constructions is preferable. Experience with RDBMS including but not limited to MySQL, PostgreSQL, SQL Server, Oracle Solid knowledge of the SDLC and enforcement of standard software development practices. Ability to review and critique code and proposed designs and offer thoughtful feedback in a collegial fashion. Proven history of self-direction, creativity, and ability to meet deadlines. Skilled in writing and communication- able to craft needed messages so they are clearly expressed and easily understood. Ability to work well with the other Technical Leads and foster an environment of collaboration and learning.

You are a highly skilled and motivated Senior Content Taxonomy Analyst who will be responsible for designing, developing, and maintaining ontologies and taxonomies that drive the content strategy and underpin the content management platform. Your role is crucial in ensuring that information is organized, accessible, and effectively utilized across the organization. As a Senior Content Taxonomy Analyst, you will collaborate with subject matter experts to gather requirements, define scope, and ensure the accuracy and completeness of knowledge models. You will apply semantic web standards and technologies such as RDF, OWL, and SKOS to build robust and scalable ontologies. You will develop and implement a comprehensive content taxonomy strategy that aligns with business goals and user needs. This includes defining content types, metadata schemas, and controlled vocabularies to support content creation, management, and retrieval. Establishing guidelines and best practices for content tagging and classification will also be part of your responsibilities. Working closely with the content management platform team, you will integrate ontologies and taxonomies into the platform's architecture and functionality. You will ensure that the platform effectively supports semantic search, faceted navigation, and other knowledge-driven features. Additionally, you will provide guidance and support to content authors and editors on the use of taxonomies and metadata. Your role will also involve contributing to the development of data governance policies and standards related to ontology and taxonomy management. You will ensure compliance with industry best practices and relevant standards while promoting the use of ontologies and taxonomies across the organization. Collaboration with cross-functional teams, including content creators, developers, data scientists, and business stakeholders, will be essential. You will need to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. Staying up-to-date on the latest trends and technologies in ontology and knowledge representation and participating in industry communities will also be part of your role. In addition to a Bachelor's degree in Computer Science, Information Science, Library Science, Linguistics, or a related field, a Master's degree is preferred. You should have 3+ years of experience in ontology development, taxonomy design, or knowledge representation. Strong understanding of semantic web technologies, experience with ontology editing tools, content management systems, and excellent analytical, problem-solving, and communication skills are necessary. Ability to work independently and collaboratively in a fast-paced environment is also required. If you have experience with machine learning, natural language processing techniques, knowledge graph technologies, data governance principles, ontology editing tools, or industry domains like Architecture, Engineering & Construction, Manufacturing, Media & Entertainment, Product Design & Development, it would be considered a plus. Join us at Autodesk, where amazing things are created every day with our software. Be your whole, authentic self and do meaningful work that helps build a better future for all. Shape the world and your future with us!,

You will be working as a Data Schema Designer focusing on designing clean, extensible, and high-performance schemas for GCP data platforms in Chennai. The role is crucial in standardizing data design, enabling scalability, and ensuring cross-system consistency. Your responsibilities will include creating and maintaining unified data schema standards across BigQuery, CloudSQL, and AlloyDB, collaborating with engineering and analytics teams to identify modeling best practices, ensuring schema alignment with ingestion pipelines, transformations, and business rules, developing entity relationship diagrams and schema documentation templates, and assisting in the automation of schema deployments and version control. To excel in this role, you must possess expert knowledge in schema design principles for GCP platforms, proficiency with schema documentation tools such as DBSchema and dbt docs, a deep understanding of data normalization, denormalization, and indexing strategies, as well as hands-on experience with OLTP and OLAP schemas. Preferred skills for this role include exposure to CI/CD workflows and Git-based schema management, experience in metadata governance and data cataloging. Soft skills like precision and clarity in technical documentation, collaboration mindset with attention to performance and quality are also valued. By joining this role, you will be the backbone of reliable and scalable data systems, influence architectural decisions through thoughtful schema design, and work with modern cloud data stacks and enterprise data teams. Skills required for this position include GCP, denormalization, metadata governance, data, OLAP schemas, Git-based schema management, CI/CD workflows, data cataloging, schema documentation tools (e.g., DBSchema, dbt docs), indexing strategies, OLTP schemas, collaboration, analytics, technical documentation, schema design principles for GCP platforms, and data normalization.,