Senior Systems Integration Advisor - Data Engineering

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 1,700,000 - 2,600,000; Full time

Job summary

NTT DATA is seeking a Senior ETL Developer in Bangalore to design, develop, and maintain scalable ETL/ELT pipelines. You will build modular DBT transformations and Snowflake data models across Bronze to Gold layers, integrate Fivetran for ingestion, and ensure data quality through validation scripts and monitoring.

The role requires 6+ years in data engineering with Snowflake/DBT expertise, strong SQL, and experience with CI/CD workflows.

Qualifications

• 6+ years of experience in Data Engineering with 2+ years in Snowflake and DBT.
• Strong hands-on experience with Fivetran and Snowflake Data Cloud.
• Proficient in SQL development, data modeling, and data quality checks.
• Familiar with CI/CD practices and Git-based workflows.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines from multiple sources.
• Build data transformations using DBT in modular, reusable ways.
• Develop Snowflake data models across staging, intermediate, and curated layers.
• Configure and troubleshoot data ingestion with Fivetran.
• Write optimized SQL, procedures, views, and data validation scripts.
• Implement data quality checks and monitoring for reliability.

Skills

Snowflake

DBT

Fivetran

SQL

Data Modeling

CI/CD

Data Engineering

Snowflake Data Cloud

Tools

Git

CI/CD tooling

Job description

Systems Integration Advisor

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, we are currently seeking a Systems Integration Advisor to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Summary

We are seeking a highly skilled ETL Developer with 6+ years of experience in designing, developing, and maintaining modern data integration and transformation solutions. The ideal candidate should have strong hands-on expertise in Snowflake, Data Build Tool (DBT), and Fivetran, along with excellent SQL development skills. The candidate should have experience building scalable data pipelines, implementing data quality controls, and supporting enterprise data warehousing and analytics initiatives. Additionally, the candidate should be well-versed in CI/CD practices, Git-based development workflows, and deployment automation to support modern data engineering practices.

Technical Skills

• 6+ years of experience in Data Engineering with at least 2+ years in a Snowflake and DBT.
• Strong hands-on expertise in Fivetran, Snowflake Data Cloud.
• Strong hands-on experience with DBT (Data Build Tool) for data transformations and modeling.
• Experience designing and developing data pipelines across Bronze and Silver layers in modern data lakehouse architectures.
• Strong understanding of data warehousing concepts, dimensional modeling, and data transformation patterns.
• Experience with SQL performance optimization and Snowflake tuning techniques.
• Familiarity with CI/CD practices, Git-based development, and deployment automation.
• Understanding data quality, testing, monitoring, and governance frameworks.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and loading data from multiple source systems.
• Build and optimize data transformation pipelines using DBT following modular and reusable development practices.
• Develop and maintain data models in Snowflake, including staging, intermediate, and curated layers.
• Configure, manage, and troubleshoot data ingestion pipelines using Fivetran.
• Write complex and high-performance SQL queries, stored procedures, views, and data validation scripts.
• Implement data quality checks, reconciliation processes, and monitoring mechanisms to ensure data accuracy and reliability.
• Collaborate with Data Architects, Data Engineers, Analysts, and Business stakeholders to understand requirements and deliver data solutions.
• Optimize Snowflake performance through effective partitioning, clustering, warehouse sizing, and query tuning.
• Develop and maintain source-to-target mappings, technical specifications, and data lineage documentation.
• Troubleshoot production issues and perform root cause analysis for data-related incidents.
• Participate in code reviews and ensure adherence to development standards and best practices.
• Implement and support automated deployment processes across development, testing, and production environments.

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.

EEO and Equal Opportunity

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.

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Experience Level

Senior Level