Job Description
Company Profile
Overview
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
Position Summary and Location
Support the design, development, and maintenance of master data models that ensure the accuracy and consistency of key business data across systems. Collaborate with senior team members to model data structures and optimize data flow, supporting various departments such as finance, sales, and operations. This position is ideal for someone with a passion for data modeling, a keen eye for detail, and a desire to grow in data management and governance.
Duties & Responsibilities
Duties and Responsibilities
Key Responsibilities:
·Assist in the design and development of master data models for master domains such as customer, assets, supplier, and financial data.
·Help create and maintain data models (conceptual, logical, and physical) that align with business needs and data governance policies.
·Ensure the accuracy and integrity of master data by supporting data modeling standards and best practices.
·Analyze data from various sources to support data modeling decisions and validate the accuracy and completeness of master data.
·Perform basic data profiling and quality checks to identify patterns, anomalies, and potential improvements in data structures.
·Collaborate with data quality and data governance teams to ensure consistency across systems.
·Assist in designing data flow diagrams and documenting data mappings between different systems.
·Work with data engineers and system architects to integrate master data models with existing databases and applications.
·Support the creation of data management workflows that optimize data retrieval, storage, and reporting processes.
·Help maintain documentation for master data models, including data definitions, relationships, and lineage.
·Prepare reports and presentations on data modeling findings and recommendations to stakeholders and team members.
·Contribute to the development of metadata repositories and data dictionaries to support enterprise data governance.
Supervisory Responsibilities
·This position has/does not have direct supervisory responsibilities.
Reporting Relationship
Sr. Manager, Data Estate – Business Intelligence
Qualifications
Qualifications
·Bachelor’s degree in data management, Information Systems, Computer Science, or a related field.
·Relevant coursework or project experience in data modeling, databases, or data management is a plus.
Knowledge, Skills, Abilities, and Other Characteristics
·Basic understanding of data modeling concepts (e.g., entity-relationship models, dimensional modeling) and database structures.
·Familiarity with data modeling tools such as Erwin, IBM InfoSphere Data Architect, SAP PowerDesigner, or similar tools.
·Proficiency in SQL for querying databases and understanding relational data structures.
·Some exposure to data governance principles, master data management (MDM), and data integration processes.
·Strong attention to detail and problem-solving skills, with the ability to analyze data and make recommendations.
·Good communication skills to collaborate with both technical and non-technical teams.
Preferred Qualifications:
·Internship or hands-on project experience in data modeling, data management, or database design.
·Experience working with relational database management systems (RDBMS) such as Oracle, SQL Server, or MySQL.
·Familiarity with metadata management and data dictionary tools is a plus.
Additional Information
Career Development
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.
