100 Data Vault Jobs - Page 4

Data Modeler- Primary Skills: Data modeling (conceptual, logical, physical), relational/dimensional/data vault modeling, ERwin/IBM Infosphere, SQL (Oracle, SQL Server, PostgreSQL, DB2), banking domain data knowledge (Retail, Corporate, Risk, Compliance), data governance (BCBS 239, AML, GDPR), data warehouse/lake design, Azure cloud. Secondary Skills: MDM, metadata management, real-time modeling (payments/fraud), big data (Hadoop, Spark), streaming platforms (Confluent), M&A data integration, data cataloguing, documentation, regulatory trend awareness. Soft skills: Attention to detail, documentation, time management, and teamwork.

Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Preferred Skills Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives.

Role - Data Modeler/Senior Data Modeler Exp - 5 to 12 Yrs Locs - Hyderabad, Pune, Bengaluru Position - Permanent Must have skills: - Strong SQL - Strong Data Warehousing skills - ER/Relational/Dimensional Data Modeling - Data Vault Modeling - OLAP, OLTP - Schemas & Data Marts Good to have skills: - Data Vault - ERwin / ER Studio - Cloud Platforms (AWS or Azure)

Dear Candidate, We are hiring a Data Warehouse Architect to design scalable, high-performance data warehouse solutions for analytics and reporting. Perfect for engineers experienced with large-scale data systems. Key Responsibilities: Design and maintain enterprise data warehouse architecture Optimize ETL/ELT pipelines and data modeling (star/snowflake schemas) Ensure data quality, security, and performance Work with BI teams to support analytics and reporting needs Required Skills & Qualifications: Proficiency with SQL and data warehousing tools (Snowflake, Redshift, BigQuery, etc.) Experience with ETL frameworks (Informatica, Apache NiFi, dbt, etc.) Strong understanding of dimensional modeling and OLAP Bonus: Knowledge of cloud data platforms and orchestration tools (Airflow) Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Data Architect/Data Modeler role: Scope & Responsibilities: Enterprise data architecture for a functional domain or for a product group. Design and governs delivery of the Domain Data Architecture / ensures delivery as per design. Ensures consistency in approach for the data modelling of the different solutions of the domain. Design and ensure delivery of data integration across the solutions of the domain. General Expertise: Critical: Methodology expertise on data architecture and modeling from business requirements and functional specifications to data modeling. Critical: Data warehousing and Business intelligence data products modeling (Inmon/Kimball/Data Vault/Codd modeling patterns). Business/Functional knowledge of the domain. This requires business terminology understanding, knowledge of business processes related to the domain, awareness of key principles and objectives, business trends and evolution. Master data management / data management and stewardship processes awareness. Data persistency technologies knowledge: SQL (Ansi-2003 for structured relational data querying & Ansi-2023 for XML, JSON, Property Graph querying) / Snowflake specificities, database structures for performance optimization. NoSQL – Other data persistency technologies awareness. Proficient level of Business English & “Technical writing” Nice to have: Project delivery expertise through agile approach and methodologies experience/knowledge: Scrum, SAFe 5.0, Product-based-organization. Technical Stack expertise: SAP Power Designer modeling (CDM, LDM, PDM) Snowflake General Concepts and specifically DDL & DML, Snow Sight, Data Exchange/Data Sharing concepts AWS S3 & Athena (as a query user) Confluence & Jira (as a contributing user) Nice to have: Bitbucket (as a basic user)

Collaborate with senior stakeholders to gather requirements, address constraints, and craft adaptable data architectures. Convert business needs into blueprints, guide agile teams, maintain quality data pipelines, and drive continuous improvements. Required Candidate profile 7+yrs in data roles(Data Architect/Engineer). Skilled in modelling (incl. Data Vault 2.0), Snowflake, SQL/Python, ETL/ELT, CI/CD, data mesh, governance & APIs. Agile; strong stakeholder & comm skills. Perks and benefits As per industry standards

Are you ready to play a key role in transforming Thomson Reuters into a truly data-driven companyJoin our Data & Analytics (D&A) function and be part of the strategic ambition to build, embed, and mature a data-driven culture across the entire organization. The Data Architecture organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the Role In this opportunity as a Data Architect, you will: Lead Architecture Design: Architect and Lead Data Platform EvolutionSpearhead the conceptual, logical, and physical architecture design for our enterprise Data Platform (encompassing areas like our data lake, data warehouse, streaming services, and master data management systems). You will define and enforce data modeling standards, data flow patterns, and integration strategies to serve a diverse audience from data engineers to AI/ML practitioners and BI analysts. Technical Standards and Best Practices: Research and recommend technical standards, ensuring the architecture aligns with overall technology and product strategy. Be hands-on in implementing core components reusable across applications. Hands-on Prototyping and Framework DevelopmentWhile a strategic role, maintain a hands-on approach by designing and implementing proof-of-concepts and core reusable components/frameworks for the data platform. This includes developing best practices and templates for data pipelines, particularly leveraging dbt for transformations, and ensuring efficient data processing and quality. Champion Data Ingestion StrategiesDesign and oversee the implementation of robust, scalable, and automated cloud data ingestion pipelines from a variety of sources (e.g., APIs, databases, streaming feeds) into our AWS-based data platform, utilizing services such as AWS Glue, Kinesis, Lambda, S3, and potentially third-party ETL/ELT tools. Design and optimize solutions utilizing our core cloud data stack, including deep expertise in Snowflake (e.g., architecture, performance tuning, security, data sharing, Snowpipe, Streams, Tasks) and a broad range of AWS data services (e.g., S3, Glue, EMR, Kinesis, Lambda, Redshift, DynamoDB, Athena, Step Functions, MWAA/Managed Airflow) to build and automate end-to-end analytics and data science workflows. Data-Driven Decision-Making: Make quick and effective data-driven decisions, demonstrating strong problem-solving and analytical skills. Align strategies with company goals. Stakeholder Collaboration: Collaborate closely with external and internal stakeholders, including business teams and product managers. Define roadmaps, understand functional requirements, and lead the team through the end-to-end development process. Team Collaboration: Work in a collaborative team-oriented environment, sharing information, diverse ideas, and partnering with cross-functional and remote teams. Quality and Continuous Improvement: Focus on quality, continuous improvement, and technical standards. Keep service focus on reliability, performance, and scalability while adhering to industry best practices. Technology Advancement: Continuously update yourself with next-generation technology and development tools. Contribute to process development practices. About You Youre a fit for the role of Data Architect, Data Platform if your background includes: Educational Background: Bachelors degree in information technology. Experience: 10 + years of IT experience with at least 5 years in a lead design or architectural capacity. Technical Expertise: Broad knowledge and experience with Cloud-native software design, Microservices architecture, Data Warehousing, and proficiency in Snowflake. Cloud and Data Skills: Experience with building and automating end-to-end analytics pipelines on AWS, familiarity with NoSQL databases. Data Pipeline and Ingestion MasteryExtensive experience in designing, building, and automating robust and scalable cloud data ingestion frameworks and end-to-end data pipelines on AWS. This includes experience with various ingestion patterns (batch, streaming, CDC) and tools. Data Modeling: Proficient with concepts of data modeling and data development lifecycle. Advanced Data ModelingDemonstrable expertise in designing and implementing various data models (e.g., relational, dimensional, Data Vault, NoSQL schemas) for transactional, analytical, and operational workloads. Strong understanding of the data development lifecycle, from requirements gathering to deployment and maintenance. Leadership: Proven ability to lead architectural discussions, influence technical direction, and mentor data engineers, effectively balancing complex technical decisions with user needs and overarching business constraints Programming Skills: Strong programming skills in languages such as Python or Java or data manipulation, automation, and API development. Regulatory Awareness and Security Acumen: Data Governance and Security AcumenDeep understanding and practical experience in designing and implementing solutions compliant with robust data governance principles, data security best practices (e.g., encryption, access controls, masking), and relevant privacy regulations (e.g., GDPR, CCPA). Containerization and Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. #LI-VN1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

: Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer. About the Role In this opportunity as Data Engineer, you will: Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer Innovate with new approaches to meeting data management requirements Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytics teams. Analyze existing data pipelines and assist in enhancing and re-engineering the pipelines as per business requirements. Bachelor’s degree or equivalent required, Computer Science or related technical degree preferred About You You’re a fit for the role if your background includes: Mandatory skills Data Warehousing, data models, data processing[ Good to have], SQL, Power BI / Tableau, Snowflake [good to have] , Python 3.5 + years of relevant experience in Implementation of data warehouse and data management of data technologies for large scale organizations Experience in building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting Worked on Analyzing data pipelines Knowledgeable about Data Warehousing, including data models and data processing Broad understanding of the technologies used to build and operate data and analytic systems Excellent critical thinking, communication, presentation, documentation, troubleshooting and collaborative problem-solving skills Beginner to intermediate Knowledge of AWS, Snowflake, Python Hands-on experience with programming and scripting languages Knowledge of and hands on experience with Data Vault 2.0 is a plus Also have experience in and comfort with some of the following skills/concepts: Good in writing SQL and performance tuning Data Integration tools lie DBT, Informatica, etc. Intermediate in programming language like Python/PySpark/Java/JavaScript AWS services and management, including Serverless, Container, Queueing and Monitoring services Consuming and building APIs. #LI-SM1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

#JobOpening Data Engineer (Contract | 6 Months) Location: Hyderabad | Chennai | Remote Flexibility Possible Type: Contract | Duration: 6 Months We are seeking an experienced Data Engineer to join our team for a 6-month contract assignment. The ideal candidate will work on data warehouse development, ETL pipelines, and analytics enablement using Snowflake, Azure Data Factory (ADF), dbt, and other tools. This role requires strong hands-on experience with data integration platforms, documentation, and pipeline optimizationespecially in cloud environments such as Azure and AWS. #KeyResponsibilities Build and maintain ETL pipelines using Fivetran, dbt, and Azure Data Factory Monitor and support production ETL jobs Develop and maintain data lineage documentation for all systems Design data mapping and documentation to aid QA/UAT testing Evaluate and recommend modern data integration tools Optimize shared data workflows and batch schedules Collaborate with Data Quality Analysts to ensure accuracy and integrity of data flows Participate in performance tuning and improvement recommendations Support BI/MDM initiatives including Data Vault and Data Lakes #RequiredSkills 7+ years of experience in data engineering roles Strong command of SQL, with 5+ years of hands-on development Deep experience with Snowflake, Azure Data Factory, dbt Strong background with ETL tools (Informatica, Talend, ADF, dbt, etc.) Bachelor's in CS, Engineering, Math, or related field Experience in healthcare domain (working with PHI/PII data) Familiarity with scripting/programming (Python, Perl, Java, Linux-based environments) Excellent communication and documentation skills Experience with BI tools like Power BI, Cognos, etc. Organized, self-starter with strong time-management and critical thinking abilities #NiceToHave Experience with Data Lakes and Data Vaults QA & UAT alignment with clear development documentation Multi-cloud experience (especially Azure, AWS) #ContractDetails Role: Data Engineer Contract Duration: 6 Months Location Options: Hyderabad / Chennai (Remote flexibility available)

Type: Contract | Duration: 6 Months We are seeking an experienced Data Engineer to join our team for a 6-month contract assignment. The ideal candidate will work on data warehouse development, ETL pipelines, and analytics enablement using Snowflake, Azure Data Factory (ADF), dbt, and other tools. This role requires strong hands-on experience with data integration platforms, documentation, and pipeline optimizationespecially in cloud environments such as Azure and AWS. Key Responsibilities Build and maintain ETL pipelines using Fivetran, dbt, and Azure Data Factory Monitor and support production ETL jobs Develop and maintain data lineage documentation for all systems Design data mapping and documentation to aid QA/UAT testing Evaluate and recommend modern data integration tools Optimize shared data workflows and batch schedules Collaborate with Data Quality Analysts to ensure accuracy and integrity of data flows Participate in performance tuning and improvement recommendations Support BI/MDM initiatives including Data Vault and Data Lakes RequiredSkills 7+ years of experience in data engineering roles Strong command of SQL, with 5+ years of hands-on development Deep experience with Snowflake, Azure Data Factory, dbt Strong background with ETL tools (Informatica, Talend, ADF, dbt, etc.) Bachelor's in CS, Engineering, Math, or related field Experience in healthcare domain (working with PHI/PII data) Familiarity with scripting/programming (Python, Perl, Java, Linux-based environments) Excellent communication and documentation skills Experience with BI tools like Power BI, Cognos, etc. Organized, self-starter with strong time-management and critical thinking abilities Nice To Have Experience with Data Lakes and Data Vaults QA & UAT alignment with clear development documentation Multi-cloud experience (especially Azure, AWS)

Senior Data Engineer You are familiar with AWS and Azure Cloud. You have extensive knowledge of Snowflake , SnowPro Core certification is a must have. You have used DBT at least in one project to deploy models in production. You have configured and deployed Airflow and integrated various operator in airflow (especially DBT & Snowflake). You can design build, release pipelines and understand of Azure DevOps Ecosystem. You have excellent understanding of Python (especially PySpark) and able to write metadata driven programs. Familiar with Data Vault (Raw , Business) also concepts like Point In Time , Semantic Layer. You are resilient in ambiguous situations and can clearly articulate the problem in a business friendly way. You believe in documenting processes and managing the artifacts and evolving that over time.

Mandatory:- Data modelling ,SQL, Erwin or Er studio Data architect , Data Vault , Dimensional Modelling Work mode – Currently this is remote (WFH) but it’s not permanent WFH , once business ask the candidate to come to office, they must relocate. Required Candidate profile o Experience in Data vault 2.0 certification o Experience with data modeling tools such as SQLDBMS, ERwin, or similar. o Strong understanding of database management systems (DBMS) and SQL.

Key Responsibilities : Lead the design and development of scalable data pipelines using PySpark and ETL frameworks on Google Cloud Platform (GCP) . Own end-to-end data architecture and solutions, ensuring high availability, performance, and reliability. Collaborate with data scientists, analysts, and stakeholders to understand data needs and deliver actionable insights. Optimize complex SQL queries and support advanced data transformations. Ensure best practices in data governance, data quality, and security . Mentor junior engineers and contribute to team capability development. Requirements : 8+ years of experience in data engineering roles. Strong expertise in GCP data services (BigQuery, Dataflow, Pub/Sub, Composer, etc.). Hands-on experience with PySpark and building ETL pipelines at scale. Proficiency in SQL with the ability to write and optimize complex queries. Solid understanding of data modeling, warehousing, and performance tuning. Experience with CI/CD pipelines, version control, and infrastructure-as-code is a plus. Excellent problem-solving and communication skills. Preferred Qualifications : GCP Certification (e.g., Professional Data Engineer). Experience with Airflow, Kubernetes, or Terraform.

Dear Candidate, We are hiring a Data Engineer to build scalable data pipelines and infrastructure to power analytics and machine learning. Ideal for those passionate about data integrity, automation, and performance. Key Responsibilities: Design ETL/ELT pipelines using tools like Airflow or dbt Build data lakes and warehouses (BigQuery, Redshift, Snowflake) Automate data quality checks and monitoring Collaborate with analysts, data scientists, and backend teams Optimize data flows for performance and cost Required Skills & Qualifications: Proficiency in SQL, Python, and distributed systems (e.g., Spark) Experience with cloud data platforms (AWS, GCP, or Azure) Strong understanding of data modeling and warehousing principles Bonus: Experience with Kafka, Parquet/Avro, or real-time streaming Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 15 Yrs Location: Pan India Job Description: Minimum Two years experience in Boomi Data modeling Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Cloud Data Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Data ArchitectKemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise. Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on premises systems, as well as data platform selection and, on-boarding of data management solutions that meet the technical and operational needs of the company. To succeed in this role, you should know how to examine new and legacy requirements and define cost effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management. Responsibilities Define architectural standards and guidelines for data products and processes. Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality. Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets. Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations. Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood. Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc. Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations. Investigating and leading participation in POCs of emerging technologies and practices. Leveraging and evolving existing [core] data products and patterns. Communicate and lead understanding of data architectural services across the enterprise. Ensure a focus on data quality by working effectively with data and system stewards. QualificationsBachelor's degree in computer science, Computer Engineering, or equivalent experience. A minimum of 3 years' experience in a similar role. Demonstrable knowledge of Secure DevOps and SDLC processes. Must have AWS or Azure experience.Experience with Data Vault 2 required. Snowflake a plus.Familiarity of system concepts and tools within an enterprise architecture framework. Including Cataloging, MDM, RDM, Data Lakes, Storage Patterns, etc. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Data Engineering, Cloud Data Migration Minimum 9 year(s) of experience is required Educational Qualification : BE or BTech must Project Role :Data Platform Engineer Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have Skills :Data Modeling Techniques and Methodologies, SSI: NON SSI:Good to Have Skills :SSI:Data Engineering, Cloud Data Migration NON SSI :Job Requirements :Key Responsibilities :1Drive discussions with clients deal teams to understand business requirements, how Industry Data Model fits in implementation and solutioning 2Develop the solution blueprint and scoping, estimation, staffing for delivery project and solutioning 3Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions 4Good to have Data Vault,Cloud DB design,Graph data modeling, Ontology, Data Engineering,Data Lake design Technical Experience :1 9plus year overall exp,4plus Data Modeling,Cloud DB Model,3NF,Dimensional,Conversion of RDBMS data model to Graph Data ModelInstrumental in DB design through all stages of Data Model 2 Exp on at least one Cloud DB Design work must be familiar with Data Architecture Principles Professional Attributes :1Strong requirement analysis and technical solutioning skill in Data and Analytics 2Excellent writing, communication and presentation skills 3Eagerness to learn and develop self on an ongoing basis 4Excellent client facing and interpersonal skills Educational Qualification:BE or BTech mustAdditional Info :Exp in estimation,PoVs,Solution Approach creation Exp on data transformation,analytic projects,DWH Qualification BE or BTech must

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Cloud Data Architecture Good to have skills : Cloud Infrastructure Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Data ArchitectKemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise. Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on premises systems, as well as data platform selection and, on-boarding of data management solutions that meet the technical and operational needs of the company. To succeed in this role, you should know how to examine new and legacy requirements and define cost effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management. Responsibilities Define architectural standards and guidelines for data products and processes. Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality. Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets. Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations. Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood. Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc. Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations. Investigating and leading participation in POCs of emerging technologies and practices. Leveraging and evolving existing [core] data products and patterns. Communicate and lead understanding of data architectural services across the enterprise. Ensure a focus on data quality by working effectively with data and system stewards. QualificationsBachelor's degree in computer science, Computer Engineering, or equivalent experience. A minimum of 3 years' experience in a similar role. Demonstrable knowledge of Secure DevOps and SDLC processes. Must have AWS or Azure experience.Experience with Data Vault 2 required. Snowflake a plus.Familiarity of system concepts and tools within an enterprise architecture framework. Including Cataloging, MDM, RDM, Data Lakes, Storage Patterns, etc. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills.

Role & responsibilities: Experience: 6+ years of experience in data analysis, with at least 2+ years of experience in DataVault modeling. Prior experience in the financial services domain is highly preferred. Technical Skills: Strong proficiency in SQL and hands-on experience with DataVault 2.0 methodology. Familiarity with data analysis tools like Python, R, or SAS. Experience with ETL/ELT tools and cloud data platforms (e.g., Azure Synapse, AWS Redshift, or GCP BigQuery). Knowledge of Wherescape 3D and RED for modelling DataVault Data Visualization: Proficiency in creating dashboards and reports using tools such as Power BI, Tableau, or Qlik. Soft Skills: Excellent analytical thinking and problem-solving abilities. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Knowledge of Financial Services: Understanding of key financial metrics and regulatory requirements, such as Basel III or SOX compliance.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have Skills : Data Modeling Techniques and Methodologies, SSI: NON SSI: Good to Have Skills :SSI: Data Engineering, Cloud Data Migration NON SSI : Job Requirements : Key Responsibilities : 1Drive discussions with clients deal teams to understand business requirements, how Industry Data Model fits in implementation and solutioning 2Develop the solution blueprint and scoping, estimation, staffing for delivery project and solutioning 3Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions 4Good to have Data Vault,Cloud DB design,Graph data modeling, Ontology, Data Engineering,Data Lake design Technical Experience : 1 7plus year overall exp,3plus Data Modeling,Cloud DB Model,3NF,Dimensional,Conversion of RDBMS data model to Graph Data ModelInstrumental in DB design through all stages of Data Model 2 Exp on at least one Cloud DB Design work must be familiar with Data Architecture Principles Professional Attributes : 1Strong requirement analysis and technical solutioning skill in Data and Analytics 2Excellent writing, communication and presentation skills 3Eagerness to learn and develop self on an ongoing basis 4Excellent client facing and interpersonal skills

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 : NAMinimum 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 industry standards, facilitating smooth 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 & 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 training sessions for junior team members to enhance their understanding of data modeling.- Continuously evaluate and improve data modeling processes to increase efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.Data Vault experience is a MUST- 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 communicate complex data concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Creating the overall structure and framework for how data is managed, including databases, data warehouses, and data lakes. Defining the logical structure of data, including entities, attributes, and to ensure data is organized effectively Required Candidate profile Strong understanding of database technologies (SQL, NoSQL), data modeling, data warehousing, and cloud platforms. Ability resolve issues related to data infrastructure and data management.

Creating the overall structure and framework for how data is managed, including databases, data warehouses, and data lakes. Defining the logical structure of data, including entities, attributes, and to ensure data is organized effectively Required Candidate profile Strong understanding of database technologies (SQL, NoSQL), data modeling, data warehousing, and cloud platforms. Ability resolve issues related to data infrastructure and data management.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, manage project timelines, and contribute to the overall success of application development initiatives. Roles & 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 knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.-Good to have AWS , python and data vault skills- Strong understanding of data modeling and ETL processes.- Experience with SQL and data querying techniques.- Familiarity with cloud computing concepts and services.- Ability to troubleshoot and optimize data warehouse performance. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities As a Senior Data Engineer, you will work to solve some of the organizational 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 lead 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. Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. Contribute to Data Modeling accelerators 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. Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. Use the Data Modelling tool to create appropriate data models. 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 to strategize ingestion logic and consumption patterns. Preferred candidate profile 6+ years of experience in Data space. Decent SQL skills. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Good 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). 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