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.
DBT/Snowflake Junior Engineer
Location
India
Posted
58 days ago
Salary
0
Seniority
Junior
Job Description
DBT/Snowflake Junior Engineer
NTT DATA
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.
Related Guides
Related Categories
Related Job Pages
More Analytics Engineer Jobs
Senior Analytics Engineer
OctusOctus delivers proprietary data and actionable insights, unlocking truths to accelerate your critical decisions.
• 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
Analytics Engineer
OnticLeading global aerospace OEM, providing complex engineered parts & repair services in the defense and commercial market
• Design and maintain scalable dbt data models in Snowflake that serve as trusted sources of truth across the business • Architect data pipelines and transformation workflows using Fivetran and modern ELT practices • Develop durable, extensible data assets that evolve as the company scales • Establish modeling standards, documentation practices, and governance frameworks • Partner with RevOps and Finance to define and operationalize core SaaS metrics (ARR, retention, expansion, pipeline, etc.) • Build data foundations that power internal AI applications and LLM-enabled workflows • Prototype and productionize AI-driven operational use cases • Integrate analytics and AI into everyday workflows using tools such as Notion, Cursor, Glean, and other emerging platforms • Design systems that embed data directly into operational processes — not just dashboards • Partner with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems • Create reusable data assets that enable activation via Hightouch and analysis via Omni • Ensure architecture is scalable, secure, and adaptable to evolving enterprise requirements
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Non-MAC Appeals Team Associate is expected to demonstrate comprehensive expertise and a deep understanding of the non-MAC appeal process. Core responsibilities include thoroughly reviewing and processing appeals, verifying compliance with relevant regulations and organizational standards, and documenting each case with meticulous attention to detail. Associates must collaborate closely with colleagues and other departments to resolve challenging or complex cases, provide support and guidance to team members, and uphold consistency in the handling of appeals. The position is integral to maintaining the integrity of the appeals process, ensuring efficiency, and accuracy in all decisions made. Responsibilities: •Appeals and Mailbox Monitoring Review and resolve pharmacy inquiries related to Non-MAC pricing appeals, ensuring compliance with MAC/NMAC law requirements. •Data Validation & Source Verification Validate pricing and product information using trusted sources such as Medispan, manufacturers, and wholesalers. •Issue Escalation Promptly escalate potential issues to leaders to minimize impact on pharmacies and plan members. •Team Support & Training Assist Non-MAC team by answering questions and providing training support as needed. •IT Implementation Testing Monitor and perform testing activities related to IT system implementations to ensure functionality and accuracy. •Regulatory Inquiry Support Assist in research for Department of Insurance (DOI) inquiries, providing accurate and timely information to DOI team. •Ad Hoc Management Support Provide assistance to management with various ad hoc tasks and special projects as assigned. Required Qualifications Pharmacy Benefit Management (PBM) experience with all non-MAC appeal related processes and state regulations, and claims adjudication, including claims adjudication logic Experience with RxClaim platform (AS400) Preferred Qualifications • Proficient in Excel, Word, Salesforce, and Pharmacy Portal • Ability to work under tight deadlines • Strong mathematical problem-solving skills • Familiarity with wholesaler invoices Education Bachelor's Degree preferred Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $21.10 - $40.90 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 04/08/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
• Lead the design, optimization, and maintenance of scalable ELT pipelines using AWS tooling, Snowflake and dbt. • Own Spark’s most critical data models, ensuring they are well-documented, tested, performant, and trusted across the organization. • Drive standardization and automation across data workflows to reduce manual effort, improve reliability, and enable faster iteration. • Partner deeply with cross-functional stakeholders to understand ambiguous business problems and translate them into clear, scalable data solutions. • Set best practices for data quality, testing, and observability, continuously raising the bar for accuracy and consistency. • Lead medium- to large-scale data initiatives end-to-end, including technical design, execution, stakeholder communication, and delivery. • Mentor and support Analytics Engineers and other Data teammates, providing technical guidance, code review, and coaching. • Contribute to data team strategy, influencing tooling decisions, modeling patterns, and long-term architecture.




