data modeling specialist

Accenture

Project Role : Data Modeler 
Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
 
Must have skills : Data Modeling Techniques and Methodologies 
Good to have skills : Data Engineering, Snowflake Data Warehouse 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and meet the requirements of the organization, facilitating seamless data integration and accessibility across different platforms. Roles &amp; 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 workshops and meetings to gather requirements and feedback from stakeholders. - Develop and maintain comprehensive documentation of data models and methodologies. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Good To Have Skills: Experience with Snowflake Data Warehouse, Data Engineering. - Strong understanding of relational and non-relational database design principles. - Experience with data integration tools and ETL processes. - Familiarity with data governance and data quality frameworks. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Hyderabad office. - A 15 years full time education is required.
 
15 years full time education

Data Modeler

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Riyadh, serving clients globally since 2006. The company collaborates with global partners like IBM to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
We are currently looking for a Specialized Domain Modeler to join our team. In this role, you will be responsible for developing and managing specialized domain models that support our clients' business processes and data management strategies. Your expertise in domain modeling and your ability to translate business requirements into effective data models will be essential to the success of our projects.
The ideal candidate will have a strong background in data modeling, a deep understanding of specific business domains, and the ability to work collaboratively with cross-functional teams. If you have a passion for data and are skilled in creating comprehensive domain models that enhance decision-making capabilities, we want to hear from you!<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>
Design, develop, and maintain specialized domain models that accurately represent business processes and information flows.</li>
<li>Collaborate with stakeholders to gather requirements and understand the specific needs of the business domain.</li>
<li>Translate business requirements into effective data models that support analytical and operational processes.</li>
<li>Ensure data integrity and consistency across various systems and applications.</li>
<li>Document domain models and maintain comprehensive metadata for data assets.</li>
<li>Work closely with data architects and data engineers to ensure alignment between domain models and data architecture.</li>
<li>Provide guidance and training to team members and stakeholders regarding domain modeling concepts and best practices.</li>
<li>Stay current with industry trends and best practices in domain modeling and data management.</li>
<li>Participate in the continuous improvement of modeling processes and methodologies.</li>
</ul>
Requirements<ul>
<li>
Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a related field.</li>
<li>Proven experience as a domain modeler or in a similar role with a focus on data modeling.</li>
<li>Strong understanding of data modeling techniques and methodologies.</li>
<li>In-depth knowledge of a specific business domain (e.g., finance, healthcare, logistics) and its associated data requirements.</li>
<li>5-8 years of relevant experience in developing and managing specialized domain models.</li>
<li>Experience with data modeling tools (e.g., ER/Studio, PowerDesigner, Lucidchart).</li>
<li>Familiarity with data governance and data management principles.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams.</li>
<li>Experience with metadata management is a plus.</li>
<li>Relevant certifications in data modeling or data management (e.g., Certified Data Management Professional, Data Modeling in Practice) are preferred.</li>
<li>Proficiency in SQL and data querying languages.</li>
<li>Solid understanding of data integration and data warehousing concepts.</li>
<li>Experience working with big data technologies is an advantage.</li>
</ul>
Skills:<ul>
<li>
Ability to design and implement effective domain models.</li>
<li>Strong conceptual thinking and analytical capabilities.</li>
<li>Proficient in collaboration and communication with stakeholders.</li>
</ul>
Benefits<ul>
<li>
Private Health Insurance</li>
<li>Training &amp; Development</li></ul></div>

Specialized Domain Modeler

Project Role : Data Modeler 
Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data.
 
Must have skills : Data Modeling Techniques and Methodologies 
Good to have skills : NA 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models are aligned with best practices and industry standards, facilitating seamless data integration and accessibility across the organization. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality data solutions that enhance decision-making processes. Roles &amp; Responsibilities: - Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - 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 training sessions for team members to enhance their understanding of data modeling principles. - Continuously evaluate and improve data modeling processes to increase efficiency and effectiveness. Professional &amp; Technical Skills: - Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of database design principles and data architecture. - Experience with data integration tools and ETL processes. - Familiarity with data governance and data quality frameworks. - Ability to translate business requirements into technical specifications. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies. - This position is based in Mumbai. - A 15 years full time education is required.
 
15 years full time education

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Oracle to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Job Purpose
Responsible for designing, managing, and enforcing metadata standards across all data assets of the bank. This role holds high-level access and oversight privileges over the bank&rsquo;s data ecosystem, ensuring comprehensive metadata documentation, discoverability, lineage, and governance. plays a critical part in enabling data trust, quality, and reuse across operational and analytical domains.
Job Description
1. Define and maintain the enterprise metadata model and metadata standards across all data environments.
2. Manage metadata tools and platforms to ensure accurate, complete, and real-time metadata across the bank&rsquo;s data assets.
3. Collaborate with data engineers, modelers, architects, and business users to gather, validate, and document metadata.
4. Establish automated metadata harvesting, lineage tracking, and impact analysis processes.
5. Govern metadata tagging for all data layers, including raw, curated, semantic, and BI/reporting.
6. Ensure metadata accessibility through catalogs, APIs, and search interfaces for all users.
7. Support regulatory, audit, and data governance reporting with comprehensive metadata views.
8. Maintain privileged access to metadata repositories, glossaries, and lineage tracking tools.
Policies, Processes &amp; Procedures
9. Follow and implement all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner.
Day-to-day Operations
10. Follow the day-to-day operations related to own jobs in the department and preparing requested reports to ensure continuity of work. Ensure being innovative, initiative and recommend new approaches related to own jobs.
Compliance
11. Comply with all relevant CBE regulations, banking laws, AML regulations and internal AAIB policies and code of conduct in order to maintain AAIB&rsquo;s sound legal position and mitigate any potential risks.
Requirements
Education:<ul><li>Bachelor&rsquo;s degree in information systems, Data Management, or related field.</li><li>5 - 8 years of experience in metadata management, data architecture, or data governance.</li></ul>
Technical Skills:<ul><li>Strong understanding of metadata frameworks, data lineage, and data catalogs</li><li>Experience with metadata management tools (e.g, Informatica EDC, Alation, ..)</li><li>Familiarity with SQL, data warehousing, big data, and semantic modeling</li></ul>
Soft Skills:
Strong analytical mindset, attention to detail, ability to collaborate in cross-functional teams, and clear communication skills.</div>

Metadata Specialized Modeler

Morgan Stanley

<div>Profile Description
Division
 We are looking for a strong Data engineering lead to join the team that is responsible for building out a Middle office data/ODS layer. This is a critical priority for the division, and part of front to back initiative across trading, and middle &amp; back office platform revamp
Investment_Management
In the Investment Management division, we deliver active investment strategies across public and private markets and custom solutions to institutional and individual investors.
IMIT App Dev
Operations Technology is responsible for building and operating the technology platform catering to critical business processes at Morgan Stanley including Settlements, Confirmations, Regulatory Reporting, Position Keeping, Corporate Actions processing and other post-trade functions. The Firm operates at scale with up to 60 million trades processed on peak volume days and several trillion dollars of daily settlements with activity ongoing in multiple countries and currencies across the globe. There is a great breadth of financial products that our Operations plant handles across equity and fixed income, from cash products to complex derivatives and loans.
Software Engineering
The Lead will get involved in the design, development, and testing of multi-tier systems and components across the platforms
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
At Morgan Stanley India, we support the Firm&rsquo;s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm&rsquo;s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there&rsquo;s ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on&hellip;
What you&rsquo;ll do in the role:
<ul><li>Strong interpersonal skills and good team spirit is required in addition to proficiency in verbal and written business communication.
</li><li>This job demands strong work ethic and ability to handle multiple priorities. As part of the team, you will be responsible for maintaining and growing a body of knowledge that is accessible to all team members.
</li><li>We support what we build - you will also be responsible for post-production L3 support on a rotation basis. It is very important that the candidate is self-motivated and can run independently with minimal supervision.
</li><li>Candidate will be expected to be very hands-on and pick-up domain knowledge quickly. We focus on solving business problem and not to be tied down by technology choices - it is extremely important that you are open to learn &amp; work with new technologies.
</li><li>We are looking for a passionate technologist who's ready to learn &amp; experiment with a wide range of technologies
</li></ul>What you&rsquo;ll bring to the role:
o Strong in Data engineering/Data Modeling.
 
o Conversant in OLTP DBs and SQL.
 
o Exposure to latest warehousing technologies like Snowflake.
 
o Understanding of financial domain.
 
o Working knowledge of operating databases on cloud infrastructure.
 
o Strong collaboration skills.
 
o Extensive hands-on experience with SQL.
 
o Working knowledge of Unix/Linux, shell-scripting and Excel.
 
o Ability to forge strong relationships and coordinate effectively with multiple parties.
 
o Excellent oral and written communication skills, ability to communicate clearly and concisely.
 
o Detail oriented and organized.
 
o Experience working in a virtual or global team.
 
o Self-starter and ability to multi task with a -can do- attitude.
 
o Python exposure may be helpful.
 
o Experience on Report platforms and scheduling.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</div>

Data Engineer_Associate_Software Engineering

Nets-international Communication

NETS International Group is seeking an experienced Data Modelling Engineer to design, develop, and optimize data models supporting advanced analytics, business intelligence, and cloud-based data solutions. The ideal candidate will build scalable data pipelines, define robust data architectures, and ensure efficient integration across platforms such as MySQL, PostgreSQL, MongoDB, Hadoop, and Azure Data Lake.You will collaborate with data engineers, analysts, and solution architects to establish a unified data foundation aligned with business objectives and analytics needs.Key Responsibilities:<ul><li>Design, develop, and maintain conceptual, logical, and physical data models to support enterprise data architecture and reporting needs.</li><li>Build and manage data pipelines and integrations using ETL tools like Talend, Informatica, and custom scripts (Bash/Unix Shell, Python).</li><li>Collaborate with cross-functional teams to capture business requirements and translate them into optimized data models and schemas.</li><li>Design and optimize database structures in SQL-based platforms (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL systems (MongoDB).</li><li>Implement and maintain data processing across big data ecosystems &mdash; Hadoop, Spark, Hive, and Azure Data Lake.</li><li>Ensure data accuracy, consistency, and governance across distributed data environments.</li><li>Develop data lineage and metadata documentation to support transparency and compliance.</li><li>Optimize query performance and storage design for analytics workloads.</li><li>Collaborate with analytics and BI teams (e.g., using Looker, Power BI) to deliver accurate and performant data models.</li><li>Participate in Agile development cycles, ensuring timely delivery of data solutions.</li><li>Maintain documentation and provide technical support for deployed models and data architectures.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or Data Engineering.</li><li>4&ndash;7 years of experience in data modelling, data architecture, or database design.</li><li>Proven experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).</li><li>Strong understanding of data warehouse and data lake architectures.</li><li>Hands-on experience with ETL tools (Talend, Informatica) and scripting (Bash, Python).</li><li>Familiarity with big data platforms (Hadoop, Spark, Hive).</li><li>Experience in data governance, metadata management, and lineage documentation.</li><li>Knowledge of cloud platforms (AWS, Azure Data Lake, or GCP).</li><li>Excellent understanding of database performance tuning and query optimization.</li><li>Knowledge of dimensional modelling techniques (Star/Snowflake schemas).</li><li>Familiarity with RESTful APIs and data integration for analytical applications.</li><li>Experience with BI tools (Looker, Power BI, or Tableau).</li><li>Exposure to containerized environments (Docker, Kubernetes).</li><li>Understanding of Agile methodologies for collaborative delivery.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Modelling Engineering: 4 years (Required)</li></ul>

Data Modelling Engineer

NETS International Group is seeking an experienced Data Modelling Engineer to design, develop, and optimize data models supporting advanced analytics, business intelligence, and cloud-based data solutions. The ideal candidate will build scalable data pipelines, define robust data architectures, and ensure efficient integration across platforms such as MySQL, PostgreSQL, MongoDB, Hadoop, and Azure Data Lake.You will collaborate with data engineers, analysts, and solution architects to establish a unified data foundation aligned with business objectives and analytics needs.Key Responsibilities:<ul><li>Design, develop, and maintain conceptual, logical, and physical data models to support enterprise data architecture and reporting needs.</li><li>Build and manage data pipelines and integrations using ETL tools like Talend, Informatica, and custom scripts (Bash/Unix Shell, Python).</li><li>Collaborate with cross-functional teams to capture business requirements and translate them into optimized data models and schemas.</li><li>Design and optimize database structures in SQL-based platforms (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL systems (MongoDB).</li><li>Implement and maintain data processing across big data ecosystems &mdash; Hadoop, Spark, Hive, and Azure Data Lake.</li><li>Ensure data accuracy, consistency, and governance across distributed data environments.</li><li>Develop data lineage and metadata documentation to support transparency and compliance.</li><li>Optimize query performance and storage design for analytics workloads.</li><li>Collaborate with analytics and BI teams (e.g., using Looker, Power BI) to deliver accurate and performant data models.</li><li>Participate in Agile development cycles, ensuring timely delivery of data solutions.</li><li>Maintain documentation and provide technical support for deployed models and data architectures.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or Data Engineering.</li><li>4&ndash;7 years of experience in data modelling, data architecture, or database design.</li><li>Proven experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).</li><li>Strong understanding of data warehouse and data lake architectures.</li><li>Hands-on experience with ETL tools (Talend, Informatica) and scripting (Bash, Python).</li><li>Familiarity with big data platforms (Hadoop, Spark, Hive).</li><li>Experience in data governance, metadata management, and lineage documentation.</li><li>Knowledge of cloud platforms (AWS, Azure Data Lake, or GCP).</li><li>Excellent understanding of database performance tuning and query optimization.</li><li>Knowledge of dimensional modelling techniques (Star/Snowflake schemas).</li><li>Familiarity with RESTful APIs and data integration for analytical applications.</li><li>Experience with BI tools (Looker, Power BI, or Tableau).</li><li>Exposure to containerized environments (Docker, Kubernetes).</li><li>Understanding of Agile methodologies for collaborative delivery.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Modelling Engineering: 4 years (Required)</li></ul>

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