6 Data Catalogs Jobs

This is a full-time position with D Square Consulting Services Pvt Ltd. As a Senior Data Architect / Modeler, you will collaborate closely with various business partners, product owners, data strategy, data platform, data science, and machine learning teams to innovate data products for end users. Your role will involve shaping the overall solution architecture and defining models for data products using best-in-class engineering practices. By working with stakeholders, you will comprehend business requirements and design/build data models that support acquisition, ingestion processes, and critical reporting and insight needs. To be successful in this role, you must have a minimum of 12 years of experience, with at least 7 years in Data & Analytics initiatives. You should possess a deep understanding of how data architecture and modeling facilitate data pipelines, data management, and analytics. Additionally, you need 5+ years of experience in data architecture & modeling within Consumer/Healthcare Goods industries and hands-on experience in Cloud Architecture (Azure, GCP, AWS) and related databases like Synapse, Databricks, Snowflake, and Redshift. Proficiency in SQL and familiarity with data modeling tools like Erwin or ER Studio is crucial. Your responsibilities will include leading data architecture and modeling efforts in collaboration with engineering and platform teams to develop next-generation product capabilities that drive business growth. You will focus on delivering reliable, high-quality data products to maximize business value and work within the DevSecOps framework to enhance data & analytics capabilities. Collaborating with Business Analytics leaders, you will translate business needs into optimal architecture designs and design scalable and reusable models for various functional areas of data products while adhering to FAIR principles. In this role, you will also collaborate with data engineers, solution architects, and other stakeholders to maintain and optimize data models. You will establish trusted partnerships with Data Engineering, Platforms, and Data Science teams to create business-relevant data models and ensure the maintenance of Metadata Rules, Data Dictionaries, and associated lineage details. Additionally, staying updated with emerging technologies and mentoring other data modelers in the team will be a part of your responsibilities. Qualifications for this position include an undergraduate degree in Technology, Computer Science, Applied Data Sciences, or related fields, with an advanced degree being preferred. Experience in NoSQL and graphDB databases, as well as hands-on experience with data catalogs like Alation, Collibra, or similar tools, is beneficial. You should have a strong ability to challenge existing technologies and architecture while effectively influencing across the organization. Lastly, experience in a diverse company culture and a commitment to inclusion and equal-opportunity employment are desired traits for this role.,

As a Data Architect / Modeler, you will collaborate closely with various business partners, Product Owners, Data Strategy, Data Platform, Data Science, and Machine Learning (MLOps) teams to drive the development of innovative data products for end users. Your role will involve contributing to the development of overall solution architecture and defining models for data products by employing best-in-class engineering practices. By working with different stakeholders, you will gain insights into business needs and develop data models that support acquisition, ingestion processes, and critical reporting and insight requirements. With a minimum of 8 years of experience, including 5+ years of progressive experience in Data & Analytics initiatives, you are expected to possess knowledge of how data architecture and modeling support data pipelines, data management, and analytics. Additionally, you should have at least 3 years of hands-on experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (e.g., Synapse, Databricks, Snowflake, Redshift), along with 3+ years of data architecture & modeling experience in Consumer/Healthcare Goods companies. Your expertise should include proficiency in SQL, Erwin/ER Studio, and data modeling, as well as experience in designing and developing performance-tuned, reusable, and scalable data model standards and data dictionaries. Hands-on experience with data catalogs like Alation, Collibra, or similar tools is desirable. Furthermore, you should have 3 years of experience working with Agile methodology (Scrum/Kanban) in the DevSecOps model and possess strong interpersonal and communication skills. In this role, you will be responsible for providing guidance on data architecture and modeling to engineering and platform teams to create next-generation product capabilities that drive business growth. You will focus on the delivery of reliable, high-quality data products to maximize business value and collaborate with Business Analytics leaders to translate business needs into optimal architecture designs. Your responsibilities will include designing data architecture and scalable, reusable models for various functional areas of data products while adhering to "FAIR" principles. You will collaborate with data engineers, solution architects, and other stakeholders on data model maintenance and optimization and establish trusted partnerships with Data Engineering, Platforms, and Data Science teams to architect business-relevant data models. Additionally, you will create and maintain Metadata Rules, Data Dictionaries, and associated lineage details of the data models.,

Company Profile Since year 2003, Oceaneering's India Center has been an integral part of operations for Oceaneering's robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics. Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more. In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE). Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy. At Oceaneering India Center, we take pride in Solving the Unsolvable by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale. Position Summary Assist in managing and improving data governance processes and standards within the organization. You will work closely with various departments to ensure that data is accurate, consistent, secure, and used responsibly. Duties And Responsibilities Assist in documenting data governance activities, including data policies, procedures, and guidelines. Assist in the implementation and enforcement of data governance policies, procedures, and standards. Help maintain the data governance framework, ensuring alignment with regulatory, legal, and business requirements. Support the creation and maintenance of data dictionaries, glossaries, and catalogs to ensure data standardization across the organization. Work with data owners and stewards to define data quality requirements and thresholds. Qualifications Bachelor's degree in data management, Information Systems, Computer Science, Statistics, or a related field. Experience: 0-2 years of experience in data-related roles (internships, coursework, or related projects in data governance, data management, or data analysis are helpful). Familiarity with regulatory standards (e.g., GDPR, CCPA) is a plus, but not required. Knowledge, Skills, Abilities, and Other Characteristics Basic understanding of data governance principles and practices (e.g., data quality, data stewardship, metadata management). Strong analytical skills with attention to detail and accuracy. Familiarity with data management tools and platforms (e.g., Excel, SQL, data catalogs, or data governance tools) is a plus. Good communication and interpersonal skills, with the ability to collaborate across departments. Interest in data privacy, compliance, and risk management. Ability to handle sensitive and confidential information with integrity. Preferred Qualifications: Eagerness to learn and adapt to new technologies and frameworks. Strong organizational and problem-solving skills. Ability to work independently and as part of a team in a fast-paced environment. How To Apply Oceaneering's policy is to provide equal employment opportunity to all applicants. How To Apply Regular full-time employees who apply will be considered along with external candidates. Employees with less than six months with their current position are not eligible to apply for job postings. Please discuss your interest in the position with your current manager/supervisor prior to submitting your completed application. It is highly recommended to apply through the PeopleSoft or Oceanet portals. How To Apply In addition, we make a priority of providing learning and development opportunities to enable employees to achieve their potential and take charge of their future. As well as developing employees in a specific role, we are committed to lifelong learning and ongoing education, including developing people skills and identifying future supervisors and managers. Every month, hundreds of employees are provided training, including HSE awareness, apprenticeships, entry and advanced level technical courses, management development seminars, and leadership and supervisory training. We have a strong ethos of internal promotion. We can offer long-term employment and career advancement across countries and continents. Working at Oceaneering means that if you have the ability, drive, and ambition to take charge of your future-you will be supported to do so and the possibilities are endless.

Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Job Purpose: We are seeking an experienced Azure Data Engineer with over 4 to 13 years of proven expertise in Data lakes, Lake house, Synapse Analytic, Data bricks, Tsql, sql server, Synapse Db, Data warehouse and should have work exp in ETL, Data catalogs, Meta data, DWH, mpp systems, OLTP, and OLAP systems with strong communication skills. Requirements: We are seeking an experienced Azure Data Engineer with over 4 to 13 years of proven expertise in Data lakes, Lake house, Synapse Analytic, Data bricks, Tsql, sql server, Synapse Db, Data warehouse and should have work exp in ETL, Data catalogs, Meta data, DWH, mpp systems, OLTP, and OLAP systems with strong communication skills. The ideal candidate should have: Key Responsibilities: Create Data lakes from scratch, configure existing systems and provide user support Understand different datasets and Storage elements to bring data Have good knowledge and work experience in ADF, Synapse Data pipelines Have good knowledge in python, Py spark and spark sql Implement Data security at DB and data movement layers Should have experience in ci/cd data pipelines Work with internal teams to design, develop and maintain software Qualifications & Key skills required: Expertise in Datalakes, Lakehouse, Synapse Analytics, Data bricks, Tsql, sql server, Synapse Db, Data warehouse Hands-on experience in ETL, ELT, handling large volume of data and files. Working knowledge in json, parquet, csv, xl, structured, unstructured data and other data sets Exposure to any Source Control Management, like TFS/Git/SVN Understanding of non-functional requirements Should be proficient in Data catalogs, Meta data, DWH, mpp systems, OLTP, and OLAP systems Experience in Azure Data Fabric, MS Purview, MDM tools is an added advantage A good team player and excellent communicator

Analyze business workflows and translate them into data structures. Define data requirements, advise on integration and modeling, ensure metadata accuracy, and support delivery teams with reusable data assets and insights. Required Candidate profile Analyst with strong understanding of data models, business workflows, metadata management, and integration best practices. Work with cross-functional teams to align data with ops and strategic goals.