Data Engineer with Expertise in DBT, Apache Airflow, and Python

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 in Bengaluru seeks a Data Engineer with 5+ years of hands-on experience in DBT, Apache Airflow, and Python to design, build, and maintain scalable data pipelines. The role emphasizes modern data platforms, workflow orchestration, ETL/ELT development, and cloud-based warehousing.

You will develop DBT models, manage Airflow DAGs, implement data quality checks, and collaborate with data architects and stakeholders to deliver robust data platforms in a modern

Qualifications

• 5+ years of experience in Data Engineering.
• Proficient with DBT (Data Build Tool).
• Strong Apache Airflow experience with DAGs and orchestration.
• Python for ETL development and data processing.
• Strong SQL and performance tuning.
• Experience with enterprise-scale ETL/ELT pipelines.
• Knowledge of data modeling concepts including Star Schema and Dimensional Modeling.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python, DBT, and Apache Airflow .
• Build and manage Airflow DAGs for workflow orchestration, scheduling, monitoring, and dependency management.
• Develop reusable and optimized DBT models, snapshots, tests, and macros for data transformation.
• Implement data quality checks, validation frameworks, and reconciliation processes across data pipelines.
• Develop and optimize Python scripts for data ingestion, transformation, automation, and exception handling.
• Work with structured and semi-structured data formats such as JSON, CSV, and Parquet.
• Integrate data from multiple sources into enterprise data warehouses and analytics platforms.
• Monitor, troubleshoot, and resolve data pipeline failures and performance bottlenecks.
• Collaborate with Data Architects, Analysts, and Business stakeholders to understand and deliver data requirements.
• Ensure adherence to best practices around coding standards, version control, testing, and deployment.
• Participate in production support, incident resolution, and root cause analysis activities.

Skills

DBT

Apache Airflow

Python

SQL

ETL

ELT

Data Engineering

Snowflake

AWS

Data Warehousing

Data Modeling

CI/CD

Git

Cloud Data Platforms

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Snowflake

AWS

Redshift

BigQuery

Git

CI/CD

Job description

Business Intelligence Specialist Job Description: Data Engineer (DBT + Airflow + Python) | 5+ Years Role: Data Engineer Experience: 5+ Years Location: Bengaluru/Gurgaon Employment Type: Full-Time

Job Summary We are looking for an experienced Data Engineer with strong expertise in DBT, Apache Airflow, and Python to design, develop, and maintain scalable data pipelines and transformation frameworks. The ideal candidate will have hands-on experience in building modern data platforms, workflow orchestration, ETL/ELT development, and cloud-based data warehousing solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python, DBT, and Apache Airflow .
• Build and manage Airflow DAGs for workflow orchestration, scheduling, monitoring, and dependency management.
• Develop reusable and optimized DBT models, snapshots, tests, and macros for data transformation.
• Implement data quality checks, validation frameworks, and reconciliation processes across data pipelines.
• Develop and optimize Python scripts for data ingestion, transformation, automation, and exception handling.
• Work with structured and semi-structured data formats such as JSON, CSV, and Parquet.
• Integrate data from multiple sources into enterprise data warehouses and analytics platforms.
• Monitor, troubleshoot, and resolve data pipeline failures and performance bottlenecks.
• Collaborate with Data Architects, Analysts, and Business stakeholders to understand and deliver data requirements.
• Ensure adherence to best practices around coding standards, version control, testing, and deployment.
• Participate in production support, incident resolution, and root cause analysis activities.

Mandatory Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with DBT (Data Build Tool).
• Strong experience with Apache Airflow including DAG development, scheduling, monitoring, and workflow orchestration.
• Proficiency in Python for ETL development, automation, and data processing.
• Strong SQL skills with experience in writing complex queries and performance tuning.
• Experience developing and supporting enterprise-scale ETL/ELT pipelines.
• Knowledge of data modeling concepts including Star Schema and Dimensional Modeling.
• Experience with Git-based version control systems.

Preferred Skills

• Experience with Snowflake , Redshift, BigQuery, or other cloud data warehouses.
• Experience with AWS services such as S3, Glue, Lambda, or EMR.
• Exposure to CI/CD pipelines and DevOps practices.
• Experience working in Agile/Scrum environments.
• Familiarity with data quality, governance, and observability frameworks.

Nice to Have

• Snowflake Streams, Tasks, Snowpipe.
• DBT Cloud.
• PySpark or Spark.
• Terraform or Infrastructure as Code.
• Monitoring and alerting tools.

Qualification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.

Key Skills

DBT, Apache Airflow, Python, SQL, ETL, ELT, Data Engineering, Snowflake, AWS, Data Warehousing, Data Modeling, CI/CD, Git, Cloud Data Platforms Experience Level Mid Level