Data Engineer (Snowflake & dbt)

NTT DATA Global Delivery Services Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd is seeking a Data Engineer with 5+ years of experience to design and maintain scalable data pipelines using Snowflake and dbt. You will translate business requirements into robust data solutions and collaborate with cross-functional teams.

The role emphasizes strong SQL, data warehousing concepts, and cloud platform experience (AWS/Azure/GCP), with a focus on reliability, performance, and CI/CD driven deployment.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong SQL programming skills.
• Hands-on experience with Snowflake.
• Experience with dbt (Data Build Tool).
• Understanding of data warehousing concepts (Star/Snowflake Schemas).
• Experience with ETL/ELT tools and schedulers like Airflow.
• CI/CD practices familiarity.
• Experience on cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
• Build and optimize ELT/ETL workflows for data ingestion and transformation.
• Develop complex SQL queries, stored procedures, and performance tuning.
• Implement and maintain data models following best practices.
• Work with Airflow or similar schedulers for orchestration.
• Collaborate with cross-functional teams to deliver data solutions.
• Implement CI/CD pipelines for deployment and version control.
• Ensure data quality, reliability, and performance across platforms.
• Troubleshoot production issues and optimize pipelines.

Skills

Snowflake

dbt

SQL

DWH concepts

ETL/ELT

Airflow

CI/CD

Cloud platforms

Data modeling

Analytical skills

Education

Bachelors in CS/IT

Tools

Git

Job description

Business Intelligence Specialist Job Title: Data Engineer – Snowflake & dbt (5+ Years Experience) Experience 5+ Years Job Summary We are looking for a skilled Data Engineer with hands-on experience in Snowflake, dbt, cloud platforms, and modern data engineering practices. The ideal candidate should have strong SQL skills, a solid understanding of data warehousing concepts, ETL/ELT processes, and experience building scalable data pipelines.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
• Build and optimize ELT/ETL workflows for data ingestion and transformation.
• Develop complex SQL queries, stored procedures, and performance optimizations.
• Implement and maintain data models following best practices.
• Work with orchestration tools such as Airflow or similar schedulers.
• Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
• Implement CI/CD pipelines for deployment and version control of data engineering projects.
• Ensure data quality, reliability, and performance across data platforms.
• Troubleshoot production issues and optimize existing data pipelines.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong SQL programming skills.
• Hands-on experience with Snowflake.
• Experience with dbt (Data Build Tool).
• Strong understanding of Data Warehousing concepts (Star Schema, Snowflake Schema, Dimensions, Facts, SCDs, etc.).
• Experience with ETL/ELT tools and methodologies.
• Experience with orchestration/scheduling tools such as Airflow or equivalent.
• Hands-on experience with CI/CD practices and tools.
• Experience working on any cloud platform (AWS, Azure, or GCP).
• Good understanding of data modelling and performance tuning.
• Strong analytical and problem-solving skills.

Good to Have

• Python programming.
• Experience with Git and version control.
• Exposure to Agile/Scrum methodologies.
• Knowledge of monitoring and logging tools.
• Experience working with large-scale data platforms.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Snowflake and/or cloud certifications are an added advantage.

Experience Level

Mid Level