119 Cloud Database Management jobs in India

Role & responsibilities

Senior Data Modeler

Primary Skills:

• Data Modeling (Fact/Dimension tables, Slowly Changing Dimensions - Type 2, Partitioning)
• Medallion Architecture
• Erwin Data Modeler

Domain Expertise:

• Experience in modeling data for large-scale Call Center environments, including:

• IVR (Interactive Voice Response)

• CALLS

• Chat interactions

• Preferred experience with platforms such as CISCO, Genesys, or Google CES

Role Overview:

We are seeking a seasoned Data Modeler with deep expertise in designing scalable and efficient data models for enterprise-level call center systems. The ideal candidate will have hands-on experience with medallion architecture and Erwin, and a strong understanding of how to model complex call center data flows.

Responsibilities:

• Design and implement robust data models to support analytics and reporting for call center operations
• Collaborate with data engineers and business stakeholders to translate requirements into scalable data solutions
• Optimize data structures for performance and maintainability
• Ensure data integrity and consistency across systems

Preferred Qualifications:

• 7+ years of experience in data modeling
• Strong understanding of call center metrics and workflows
• Familiarity with cloud data platforms (e.g., Azure, AWS, GCP) is a plus

GDT WPB DF Data Expert JD:

Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.

Job Title: Architect - Data Modeling

Location: Bengaluru, Chennai, Hyderabad, Pune and Delhi NCR

Role & Responsibilities:

As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might

· Engage the clients & understand the business requirements to translate those into data models.

· Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.

· Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.

· Use the Data Modelling tool to create appropriate data models

· Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.

· Gather and publish Data Dictionaries.

· Ideate, design, and guide the teams in building automations and accelerators

· Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.

· Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.

· Use version control to maintain versions of data models.

· Collaborate with Data Engineers to design and develop data extraction and integration code modules.

· Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing.

· Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders.

· Work with the client to define, establish and implement the right modelling approach as per the requirement

· Help define the standards and best practices

· Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.

· Coach team members, and review code artifacts.

· Contribute to proposals and RFPs

Skills & Experience:

· 10+ years of experience in Data space exp into Data Modeling (Dimensional, Relational, Physical etc)

· Decent SQL knowledge

· Able to suggest modeling approaches for a given problem.

· Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)

· Real-time experience working in OLAP & OLTP database models (Dimensional models).

· Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.

· Eye to analyze data & comfortable with following agile methodology.

· Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)

· Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.

· Experience in contributing to proposals and RFPs

· Good experience in stakeholder management

· Decent communication and experience in leading the team

· Good to have hands-on experience or knowledge of Data Marts & Data Vaults

Warm Greeting from SP Staffing Services

We have an urgent opening from our client for the position below.

Data Modeling / C2H/ F2F Interview

Exp: 5 to 9 Yrs

Notice Period: Immediate

Location: Bangalore

JD:

Mandatory Skills PGS: Data Engineering

Alternate Skills

Good to have (Not Mandatory)

Detailed Job Description "
• Minimum 5 years of experience in SQL Server or other DBMS Development.

• Strong Experience in development of SSIS or other ETL tools and Automation Jobs.

• Strong Experience in Data Modeling & Design of DB Objects.

• Strong data analysis skills & problem solving skills.

• Familiarity with Agile methodologies and tools like Jira.

• Experience using GitHub for version control and collaboration.

• Working closely with data analysts, data scientists, and other stakeholders to understand data requirements, provide data access, and support their analytical and reporting needs.

Good to Have (not mandatory)

• Experience or knowledge MongoDB.

• Experience or knowledge Snowflake DB.

• Exposure to AI Projects.

• Exposure to DevOps tools and practices"

If you are interested, please share your updated resume with or

Role & responsibilities

• 10+ years of experience in Data space.
• Decent SQL knowledge
• Able to suggest modeling approaches for a given problem.
• Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)
• Real-time experience working in OLAP & OLTP database models (Dimensional models).
• Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.
• Eye to analyze data & comfortable with following agile methodology.
• Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)
• Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.
• Experience in contributing to proposals and RFPs
• Good experience in stakeholder management
• Decent communication and experience in leading the team

Curious about the role? What your typical day would look like?

As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might

• Engage the clients & understand the business requirements to translate those into data models.

• Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.

• Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.

• Use the Data Modelling tool to create appropriate data models

• Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.

• Gather and publish Data Dictionaries.

• Ideate, design, and guide the teams in building automations and accelerators

• Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.

• Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.

• Use version control to maintain versions of data models.

• Collaborate with Data Engineers to design and develop data extraction and integration code modules.

• Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing.

• Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders.

• Work with the client to define, establish and implement the right modelling approach as per the requirement

• Help define the standards and best practices

• Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.

• Coach team members, and review code artifacts.

• Contribute to proposals and RFPs

Job Requirement

What do we expect?

• 10+ years of experience in Data space.

• Decent SQL knowledge

• Able to suggest modeling approaches for a given problem.

• Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server)

• Real-time experience working in OLAP & OLTP database models (Dimensional models).

• Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality.

• Eye to analyze data & comfortable with following agile methodology.

• Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP)

• Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables.

• Experience in contributing to proposals and RFPs

• Good experience in stakeholder management

• Decent communication and experience in leading the team

You are important to us, lets stay connected

Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Total exp

5 Years

Relevant exp

3 to 4 Years

Mandatory skills

4+ years of experience in data modeling, data architecture. Proficiency in data modeling tools ERwin, IBM Infosphere Data Architect and database management systems. Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices. Excellent analytical and problem-solving skills with a keen attention to detail. Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL.

Gurgaon/Bangalore, India

AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL's executive leadership team to maximize benefits and facilitate sustained industrious advantage. Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking an Assistant Scientist for our Data Engineering team. The role will support the team's efforts towards creating, enhancing, and stabilizing the Enterprise data lake through the development of the data pipelines. This role requires a person who is a team player and can work well with team members from other disciplines to deliver data in an efficient and strategic manner.

What You'll Be DOING
What will your essential responsibilities include?

• Collaborate with cross-functional teams to understand data requirements and business needs.
• Utilize SQL to query and manipulate data from various sources, ensuring data accuracy and integrity.
• Develop and maintain data pipelines using DBT, Databricks to facilitate data processing and transformation.
• Assist in deploying and managing data solutions on Azure Cloud, ensuring optimal performance and security.
• Create and maintain documentation for data processes, data models, and system architecture.
• Participate in data quality checks and troubleshooting to resolve data-related issues.
• Maintain integrity and quality across all pipelines and environments.
• Understand and follow secure coding practices to make sure the code is not vulnerable.
• Bring ideas to the tables that help to streamline and rationalize BTL jobs.
• Leads small team strategic partner/vendor team members.
• Works with business users and tries to bring closure to the request.

You will report to the Division Lead of Data Modeling.

What You Will BRING
We're looking for someone who has these abilities and skills:

Required Skills And Abilities

• Bachelor's degree in computer science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
• Proficiency in SQL for database querying and management.
• Excellent programming skills in Python, with experience in data manipulation and analysis.
• Must have hands-on experience in designing and developing ETL Pipelines.
• Relevant years of exposure and good proficiency in data warehousing concepts.
• Proficient in SQL and database Design concepts.
• Good knowledge of unit testing, documentation - low-level design.

Desired Skills And Abilities

• Knowledge of the DBT/Databricks is a plus.
• Knowledge of Git is a plus.
• Knowledge of Azure cloud computing platform with Azure Synapse, and ADLS is a plus.
• Knowledge of Databricks and ADF, Pyspark is a plus.
• Passion for data and experience working within a data-driven organization.
• You care about what you do, and what we do.
• Knowledge of GitHub and build management.

Who WE are
AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don't just provide re/insurance, we reinvent it.

How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty.

With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.

Learn more at

What we OFFER
Inclusion
AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That's why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential.
It's about helping one another — and our business — to move forward and succeed.

• Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.
• Robust support for Flexible Working Arrangements
• Enhanced family-friendly leave benefits
• Named to the Diversity Best Practices Index
• Signatory to the UK Women in Finance Charter

Learn more at AXA XL is an Equal Opportunity Employer.

Total Rewards
AXA XL's Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do.

We're committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence.

Sustainability
At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our Sustainability strategy, called "Roots of resilience", focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.

Our Pillars

• Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We're committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.
• Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.
• Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We're training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.
• AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL's "Hearts in Action" programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving.

For more information, please see