Req ID: 348805 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DBT/ Snowflake Junior Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN). Job Duties: Roles & Responsibilities Design and implement Snowflake schemas, tables, views, materialized views, and stages to support migrated workloads. Recreate/translate Yellowbricks tables, views, and logic into Snowflake with functional equivalence. Collaborate with dbt developers to ensure dbt models are aligned with Snowflake best practices (clustering, micro-partitioning, warehouses). Develop and optimize SQL scripts, stored procedures (Snowflake Scripting), and views used by dbt, Databricks, and BI tools. Implement and manage Snowflake roles, grants, and security models in line with enterprise standards. Support performance tuning for complex queries, including warehouse sizing, result caching, clustering, and statistics. Assist with data migration and validation between Yellowbricks and Snowflake (row counts, aggregates, and spot checks). Contribute to CI/CD implementation for Snowflake objects (using Azure DevOps or similar). Work closely with onshore architects and leads, attending overlap meetings in US time zones as required. Minimum Skills Required: Experience & Skills 2-4 years of experience in Data Engineering / DW development, with 2+ years on Snowflake. Strong hands-on SQL skills and experience with large-scale DW solutions. Solid understanding of Snowflake architecture (warehouses, databases, schemas, stages, virtual warehouses, security roles). Experience with cloud platforms, ideally Azure and its integration with Snowflake (ADLS/Blob, ADF/Synapse, Key Vault). Prior exposure to migration from MPP platforms (Yellowbricks, Teradata, Netezza, etc.) to Snowflake is a plus. Familiarity with dbt, Databricks, or ETL tools (Informatica) is an advantage. Experience working in offshore delivery models, collaborating with onshore teams. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Req ID: 348803 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DBT/Snowflake Junior Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN). Job Duties: Roles & Responsibilities Design and implement Snowflake schemas, tables, views, materialized views, and stages to support migrated workloads. Recreate/translate Yellowbricks tables, views, and logic into Snowflake with functional equivalence. Collaborate with dbt developers to ensure dbt models are aligned with Snowflake best practices (clustering, micro-partitioning, warehouses). Develop and optimize SQL scripts, stored procedures (Snowflake Scripting), and views used by dbt, Databricks, and BI tools. Implement and manage Snowflake roles, grants, and security models in line with enterprise standards. Support performance tuning for complex queries, including warehouse sizing, result caching, clustering, and statistics. Assist with data migration and validation between Yellowbricks and Snowflake (row counts, aggregates, and spot checks). Contribute to CI/CD implementation for Snowflake objects (using Azure DevOps or similar). Work closely with onshore architects and leads, attending overlap meetings in US time zones as required. Minimum Skills Required: Experience & Skills 2-4 years of experience in Data Engineering / DW development, with 2+ years on Snowflake. Strong hands-on SQL skills and experience with large-scale DW solutions. Solid understanding of Snowflake architecture (warehouses, databases, schemas, stages, virtual warehouses, security roles). Experience with cloud platforms, ideally Azure and its integration with Snowflake (ADLS/Blob, ADF/Synapse, Key Vault). Prior exposure to migration from MPP platforms (Yellowbricks, Teradata, Netezza, etc.) to Snowflake is a plus. Familiarity with dbt, Databricks, or ETL tools (Informatica) is an advantage. Experience working in offshore delivery models, collaborating with onshore teams. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Req ID: 348804 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DBT/Snowflake Junior Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN). Job Duties: Roles & Responsibilities Design and implement Snowflake schemas, tables, views, materialized views, and stages to support migrated workloads. Recreate/translate Yellowbricks tables, views, and logic into Snowflake with functional equivalence. Collaborate with dbt developers to ensure dbt models are aligned with Snowflake best practices (clustering, micro-partitioning, warehouses). Develop and optimize SQL scripts, stored procedures (Snowflake Scripting), and views used by dbt, Databricks, and BI tools. Implement and manage Snowflake roles, grants, and security models in line with enterprise standards. Support performance tuning for complex queries, including warehouse sizing, result caching, clustering, and statistics. Assist with data migration and validation between Yellowbricks and Snowflake (row counts, aggregates, and spot checks). Contribute to CI/CD implementation for Snowflake objects (using Azure DevOps or similar). Work closely with onshore architects and leads, attending overlap meetings in US time zones as required. Minimum Skills Required: Experience & Skills 2-4 years of experience in Data Engineering / DW development, with 2+ years on Snowflake. Strong hands-on SQL skills and experience with large-scale DW solutions. Solid understanding of Snowflake architecture (warehouses, databases, schemas, stages, virtual warehouses, security roles). Experience with cloud platforms, ideally Azure and its integration with Snowflake (ADLS/Blob, ADF/Synapse, Key Vault). Prior exposure to migration from MPP platforms (Yellowbricks, Teradata, Netezza, etc.) to Snowflake is a plus. Familiarity with dbt, Databricks, or ETL tools (Informatica) is an advantage. Experience working in offshore delivery models, collaborating with onshore teams. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

• Develop a deep understanding of our data tech stack, key data sources, and business domain to become a go-to resource for data questions across the organization • Own and evolve our dbt project — improving model structure, documentation, testing coverage, and overall warehouse architecture • Write performant, scalable SQL that integrates complex data from multiple sources into reliable tables and views that power critical business decisions • Monitor and optimize Snowflake costs through query optimization, warehouse tuning, clustering strategies, and proactive recommendations • Partner with analysts, data scientists, and business stakeholders to translate business requirements into well-modeled, reusable data assets • Establish and enforce best practices for data modeling, code review, testing, and documentation across the BI team • Identify and resolve data quality issues, building robust testing frameworks to ensure data accuracy and consistency • Contribute to the roadmap for our data platform, evaluating new tools and technologies as the business scales