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data architect

Accenture

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Data Architecture Principles, Amazon Web Services (AWS), Apache Kafka, PySpark<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>18</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: We are seeking a highly experienced Senior Data Architect &amp; Technical Lead to drive the design, development, and delivery of enterprise-scale data platforms and solutions. This role requires deep, hands-on expertise across Data Architecture, Data Design, Data Modelling, Data Management, Governance, Analytics, Migration, and Modernization, along with strong experience delivering Banking domain data products. The ideal candidate will serve as the technical authority for data initiatives, lead cross-functional engineering teams, and define best-in-class data strategies aligned to business and regulatory requirements. The candidate must demonstrate practical proficiency in AWS cloud-native data services (Glue, Lake Formation, Redshift, S3, EMR, Marketplace, SageMaker, Unified Studio), distributed data processing (PySpark), streaming technologies (Kafka), and modern data engineering practices. Key Responsibilities 1. Data Architecture &amp; Technical Leadership &bull; Define and own the enterprise data architecture vision, ensuring scalability, security, and performance of data platforms. &bull; Lead end-to-end architecture design for data integration, ingestion, transformation, storage, consumption, and analytics. &bull; Review, guide, and mentor engineering teams on technical implementations, design patterns, and coding standards. &bull; Evaluate new tools, technologies, and frameworks to drive modernization and innovation. 2. Data Design &amp; Data Modelling &bull; Develop logical, conceptual, and physical data models for transactional, operational, and analytical workloads. &bull; Architect data lakes, data warehouses, and lakehouse systems on AWS using industry best practices. &bull; Ensure data models support business, regulatory, and performance requirements. &bull; Own canonical models, reference data structures, and metadata definitions. 3. Data Analysis &amp; Data Management &bull; Conduct detailed data analysis, profiling, and discovery to support solution design and quality assurance. &bull; Oversee data lifecycle management, quality, availability, retention, and lineage across platforms. &bull; Establish and enforce data management best practices across the organization. 4. Data Governance &amp; Compliance &bull; Implement data governance frameworks including policies for data quality, security, privacy, and usage. &bull; Work with business and compliance teams to ensure adherence to EU regulatory guidelines (e.g., BCBS 239, GDPR, PCI). &bull; Define and implement data lineage, cataloging, and metadata management solutions. 5. Data Migration, Modernization &amp; Transformation &bull; Lead complex data migration initiatives from on-premise or legacy systems to cloud-based platforms (AWS). &bull; Architect and deliver modernization programs involving data lakehouse adoption, ETL to ELT transformation, and real-time data streaming. &bull; Drive automation, orchestration, and CI/CD practices for data pipelines. 6. Domain Expertise &ndash; Banking &amp; Financial Services &bull; Design and deliver data products related to customer 360, payments, lending, risk management, AML/KYC, credit scoring, and regulatory reporting. &bull; Work closely with SME and product owners to translate business requirements into data solutions. &bull; Ensure data models and architecture align with banking data standards and regulatory obligations. 7. AWS Cloud &amp; Modern Engineering &bull; Architect cloud-based solutions using: o AWS Glue, Glue Studio, DataBrew o AWS Lake Formation o Amazon S3, Redshift, Athena, EMR o AWS Marketplace data products o Amazon SageMaker / Unified Studio for ML workflows &bull; Build and optimize high-performance distributed data pipelines using Python, PySpark, and Kafka. &bull; Lead the implementation of secure, cost-effective, and resilient cloud architectures. Required Skills &amp; Qualifications Technical Skills &bull; 15+ years of experience in Data Architecture and Data Engineering, with at least 5 years in a senior/lead role. &bull; Deep hands-on experience with Data Design, Data Modelling (3NF, Dimensional, Data Vault), and Data Integration. &bull; Strong expertise with ETL/ELT frameworks, distributed data processing, and real-time data streaming. &bull; Advanced programming experience in Python and PySpark. &bull; Strong working knowledge of Apache Kafka, streaming pipelines, and event-driven architectures. &bull; Extensive hands-on experience with AWS data stack. &bull; Experience with data cataloging, lineage, quality, governance, and metadata platforms. Domain Skills &bull; Strong understanding of banking and financial services data, including operational and analytical use cases. &bull; Experience working with core banking systems, payments data, risk and compliance data, and regulatory reporting. Leadership Skills &bull; Proven experience leading cross-functional technical teams. &bull; Ability to drive architectural decisions and influence stakeholders at all levels. &bull; Strong communication, documentation, and stakeholder management skills. Preferred Qualifications &bull; AWS Certified Data Analytics &ndash; Specialty or AWS Solutions Architect certifications. &bull; Experience with machine learning data pipelines or MLOps. &bull; Familiarity with Data Mesh or domain-driven data product architectures. Additional Information: - The candidate should have minimum 18 years of experience in Data Architecture Principles. - This position is based at our Gurugram office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Architect

Infogen Labs

<div><div><div><p><b>Number of Positions:</b><b> </b><b>1</b></p></div></div><div><div><div><p><b>
Summary:</b></p></div><div><p>
Data Architect with extensive experience in managing and optimizing data architecture, particularly with a focus on DynamoDB and Redshift. The ideal candidate will possess a strong background in both traditional SQL databases and NoSQL databases, with a deep understanding of data modeling, optimization, and scalability.</p></div></div><div><div><p><b>
Responsibilities</b></p></div><div><ul><li>
Design and implement scalable data architectures utilizing DynamoDB and Redshif</li><li>
Collaborate with client, stakeholders and cross-functional teams to gather and analyze data requirements, and translate them into efficient database design,</li><li>
Develop and maintain data models, schemas, and structures to ensure optimal performance and reliabilit,</li><li>
Optimize database configurations, queries, and indexing strategies to enhance system performance and scalabilit,</li><li>
Implement data security measures and ensure compliance with regulatory standard,</li><li>
Monitor database performance, troubleshoot issues, and implement solutions to address bottlenecks and inefficiencie,</li><li>
Work closely with software engineers and data analysts to integrate data solutions into applications and analytical workflow,</li></ul></div></div><div><div><p><b>
Requirements</b></p></div><div><ul><li>
Proven experience as a Data Architect or similar role, with a minimum of 5 years of experience</li><li>
Extensive hands-on experience with DynamoDB and Redshift is required</li><li>
Strong proficiency in SQL and NoSQL database technologies, with a focus on data modeling, optimization, and performance tuning</li><li>
Solid understanding of data warehousing concepts, ETL processes, and data integration techniques</li><li>
Experience working in cloud environments, particularly with AWS services such as EC2, S3, and Lambda</li><li>
Excellent problem solving skills and the ability to troubleshoot complex database issues</li><li>
Familiarity with data governance principles and best practices</li><li>
Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders</li><li>
Demonstrated ability to work independently and as part of a team in a fast-paced environment</li><li>
AWS Certification (e.g., AWS Certified Solutions Architect, AWS Certified Big Data - Specialty)</li><li>
Experience with other NoSQL databases such as MongoDB or Cassandra</li><li>
Familiarity with agile software development methodologies</li></ul></div></div></div></div><p></p>

Environmental Resources Management

<div><div>An exciting opportunity has emerged for a seasoned Data Architect to become a vital member of our ERM Technology team. You will report to the Lead Enterprise Architect and join a dynamic team focused on delivering corporate and technology strategic initiatives. The role demands high-level analytical, problem-solving, and communication skills, along with a strong commitment to customer service. As the Data Architect for ERM, you will work closely with both business and technology stakeholders, utilizing your expertise in business intelligence, analytics, data engineering, data management, and data integration to significantly advance our data strategy and ecosystem.</div><div></div><div>
Key responsibilities include:</div><div></div><ul><li>
 Empowered to define the data and information management architecture for ERM.</li><li>
 Collaborate with product owners, engineers, data scientists, and business stakeholders to understand data needs across the full product lifecycle.</li><li>
 Ensure a shared understanding of our data, including its quality, ownership, and lineage throughout its lifecycle, from initial capture via client interaction to final consumption by internal and external processes and stakeholders.</li><li>
Ensure that our data landscape effectively meets corporate and regulatory reporting requirements.</li><li>
 Establish clear ownership and governance for comprehensive data domain models, encompassing both data in motion and data at rest.</li><li>
 Provide expert guidance on solution architecture, engineering principles, and the implementation of data applications utilizing both existing and cutting-edge technology platforms.</li><li>
Build a robust data community by collaborating with architects and engineers, leveraging this community to implement solutions that enhance client and business outcomes through data.</li></ul><div></div><div>
The successful candidate will have:</div><div></div><ul><li>
Proven experience as an enterprise data architect.</li><li>
Experience in end-to-end implementation of data-intensive analytics-based projects encompassing data acquisition, ingestion, integration, transformation and consumption.</li><li>
Proven experience in the design, development, and implementation of data engineering technologies.</li><li>
Strong knowledge of data management and governance principles.</li><li>
 A strong understanding of Azure and AWS service landscapes, particularly data services.</li><li>
Proven experience with various data modelling techniques.</li><li>
Understanding of big data architectures and emerging trends in technology.</li><li>
A solid familiarity with Agile methodologies, test-driven development, source control management, and automated testing.</li></ul><div></div><div><i>
Who We Are:</i></div><div><i>
As the world&rsquo;s leading sustainability consulting firm, ERM is uniquely positioned to contribute to the environment and society through the expertise and energy of our employees worldwide. Sustainability is what we do, and is at the heart of both our service offerings and how we operate our business. For our people, our vision means attracting, inspiring, developing and rewarding our people to work with the best clients and on the biggest challenges, thus creating valuable careers. We achieve our vision in a sustainable manner by maintaining and living our ERM values that include Accountability, Caring for our People, Client Focus, Collaboration, Empowerment, and Transparency.</i></div><div></div><div><br>
ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.</div><div></div><div><br>
ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status or disability status.</div><div></div><div><br>
Thank you for your interest in ERM!</div><div></div><div><div>
#LI-SN2</div><div>
#LI-Hybrid</div></div></div>

Rackspace Technology

<div><div><div>As a Data Architectfor Data, you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse &amp; data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.</div><div>
</div><div>
In this role you will be helping to grow the Rackspace data practice in Southeast Asia. You will be the expert in the region and support the delivery of our data projects on Azure. As the local expert you&rsquo;ll be involved in presenting to customers at events and promoting our capabilities to Azure. With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.</div><div>
</div><div>
More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.</div><div>
</div><div>
The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.
</div><div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Key Requirements</b></h3><ul><li><ul><li>
12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
</li><li>At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics.
</li><li>Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,
</li><li>Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring.</li><li>
Strong Spark, SQL, Data Modeling, Data lakehouse concepts.
</li><li>Programming / scripting experience using python and scala.</li><li>
6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads</li><li>
4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics</li><li>
5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required.
</li><li>Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders</li><li>
Certifications in architecture, data engineering and development from Azure is preferred
</li><li>Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Data Specialization:
</b></h3><ul><li><ul><li>Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases</li><li>
Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities</li><li>
Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modeling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations</li><li>
Be the technical liaison between customers and engineering teams</li><li>
Be a big data evangelist by educating a variety of customers on the value of cloud and data services</li><li>
Ensure solutions are optimized for Azure&rsquo;s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs.</li><li>
Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management.</li><li>
Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault.</li><li>
Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA).</li><li>
Conduct risk assessments and remediate vulnerabilities across the Azure environment.</li><li>
Lead capacity planning and disaster recovery strategies to ensure uptime and business continuity.</li><li>
Partner with security teams to proactively remediate vulnerabilities and enforce role-based access control (RBAC).</li><li>
Act as a trusted advisor to clients, providing technical guidance on architecture improvements, cost optimizations, and emerging Azure features.</li><li>
Deliver detailed operational reports and improvement plans, ensuring continuous service enhancement.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>General Consultancy:
</b></h3><ul><li><ul><li>Present recommendations to clients using both written deliverables and face-to-face discussions</li><li>
Develop deep relationships with clients and act as the single point of contact for client executives on data engagements</li><li>
Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of Azure data offerings.
</li><li>Lead the professional services elements of relevant data proposals and RFP/RFI responses, including scope, effort, pricing models and SOW development.
</li><li>Guide customers during big data and cloud adoption by:</li><li>
Understanding drivers of technology change</li><li>
Building business cases to undertake technology change</li><li>
Lead discovery sessions with stakeholders, including interviews, document analysis, requirements workshops, surveys, client on-site visits, business process descriptions, use cases, scenarios, and data analysis for technology change</li><li>
Identify gaps in customer maturity and capabilities in relation to their data strategy.</li><li>
Identify areas of opportunity, and recommend future state improvements</li><li>
Work with Engagement / Project Managers to plan the delivery of data projects, including budget, delivery resources, partner engagement, schedules and responsibilities.</li><li>
Accountable for the successful outcome of data and related engagements from both a delivery (schedule, deliverables etc.) and commercial (revenue realization, budget etc.) perspective.</li><li>
Lead the effort to find creative approaches to problem solving and identify, mitigate, or escalate delivery risks and issues.
</li></ul></li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>Certifications</b></h3><ul><li><ul><li>
Microsoft Certified: Azure Solutions Architect Expert (preferred).</li><li>
Microsoft Certified: Azure Security Engineer Associate (preferred).</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Preferred Skills:
</b></h3><ul><li><ul><li>Experience with hybrid and multi-cloud environments.</li><li>
Knowledge of DevOps principles and CI/CD tools such as Azure DevOps or GitHub Actions.</li><li>
Familiarity with advanced analytics, AI, and machine learning use cases on Azure.</li></ul></li></ul></div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Data &amp; AI Solution Architecture<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>12</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications while collaborating with various teams to achieve project goals. 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. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and best practices among team members. - Evaluate and recommend tools and technologies to enhance data architecture. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data &amp; AI Solution Architecture. - Good To Have Skills: Experience with Solution Architecture. - Strong understanding of data modeling techniques and methodologies. - Experience with cloud-based data solutions and architectures. - Proficiency in data integration and ETL processes. - Familiarity with data governance and data quality frameworks. - Proven experience leading cloud, DevOps, or AI modernization initiatives. - Strong understanding of LLMs, automation, and engineering toolchains. - Ability to translate AI innovation into business and productivity impact. Additional Information: - The candidate should have minimum 12 years of experience in Data &amp; AI Solution Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required.</p>
<br>
15 years full time education

T-Ravens

<p><b>Key Responsibilities:</b></p><p>&middot; Lead the design and implementation of scalable data architecture supporting analytics and digitalization agenda</p><p>&middot; Develop and maintain data models (Logical and Physical) to support business needs ensuring data integrity and efficiency.</p><p>&middot; Proven experience as a Data Architect with hands-on expertise in designing and deploying end-to-end enterprise-grade data solutions including pipelines, storage, compute, and integration components</p><p>&middot; Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solution.</p><p>&middot;</p><p><b>Mandatory Skills:</b></p><p>&middot; Strong knowledge of Data Architectures e.g., Data Lake, Medallion Architecture, Data Products, Data Mesh, Data Fabric, Data Warehouse</p><p>&middot; Experience with cloud-based data solutions using Azure Data Factory, Synapse, Databricks, Blob storage, ADLS Gen2, Azure SQL, Azure Functions, Power BI, Fabric, Logic Apps, Event Hubs, Python,</p><p>&middot; Proficient in data modelling, database design</p><p>&middot; Drive DevOps and CI/CD adoption for data pipeline automation and deployment</p><p>&middot; Strong knowledge of star schema, snowflake schema, relational and non-relational data structures, facts &amp; dimensions, Logical Physical and Semantic modelling techniques</p><p>&middot; Strong knowledge of common data stores e.g., ODS, Data Warehouse, Data Lake, Data Mart, etc.</p><p>&middot; Metadata management, Data Masking, lineage, views, strong SQL querying skills, SCRUM Agile</p><p>&middot; Strong knowledge of SQL and NoSQL databases.</p><p>&middot; Experience with data integration, ETL processes, and data migration using Realtime, batch and micro-batch</p><p>&middot; Excellent problem-solving and analytical skills.</p><p>&middot; Effective communication and collaboration abilities.</p><p>&middot; Familiarity with data governance and data security practices and compliance in cloud environments</p><p>&middot; Provide technical leadership and mentorship to a team of Azure Data Engineers, ensuring delivery quality and adherence to best practices</p><p>&middot; 10+ years of experience in hands-on design, engineering, administration, and implementation of comprehensive systems and architectures in an insurance enterprise are preferred</p><p>&middot; Understanding of insurance domain concepts with hands-on experience in data modelling is required</p><p>&middot; Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred</p><p>&middot; Industry certifications in Azure, Databricks or data architecture is advantageous</p><p>&middot; Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)</p><p>&middot; Ability to estimate the financial impact of technology alternatives in terms of benefit and cost</p><p>&middot; Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models</p><p>&middot; Excellent collaboration and communications skills to deal with senior leaders, stakeholders and executives and to build and nurture business relationships</p><p>&middot; Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas</p><p><b>Nice to Have Skills:</b></p><p>&middot; Azure or Databricks certification. CDMP, TOGAF</p><p>&middot; Knowledge of machine learning and AI</p><p>&middot; Experience in Agile/Scrum environments.</p><p>&middot; Understanding of regulatory frameworks like GDPR, HIPAA.</p><p>&middot; Detail-oriented and highly organized. Strong leadership and project management skills.</p><p>&middot; Ability to work independently and as part of a team</p><p>&middot; Excellent communication and stakeholder management skills</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;3,500,000.00 - &#8377;4,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Microsoft SQL Server Integration Services (SSIS)<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Key Responsibilities Define migration strategy &amp; roadmap: Establish timelines, downtime windows, rollback plans, and communication with stakeholders. Assess compatibility &amp; risks: Use migration assessment tool (SQL Server Management Studio 22) to identify deprecated features and breaking changes. Infrastructure readiness: Coordinate with client/system admins to provision SQL Server 2025 servers (hardware/VMs, storage, networking). Design &amp; validate migration scripts: Create and review T-SQL and PowerShell scripts for schema migration, data movement. Oversee testing &amp; validation: Define unit test scenarios, ensure data integrity, and validate application connectivity. Co-ordinate in deployment/cutover activities Required Skills SQL Server administration (installation, configuration, migration methods). Hands on experience with Microsoft SQL server (version 2016 and above) and SQL Server Management Studio (SSMS) Strong SQL development knowledge, T-SQL &amp; scripting for automation. PowerShell Scripting is added advantage. Basic Infrastructure knowledge (Windows Server, storage, networking). Project management &amp; leadership. Troubleshooting &amp; root cause analysis. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft SQL Server Integration Services (SSIS). - This position is based at our Hyderabad office. - A 15 years full time education is required.</p>
<br>
15 years full time education

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