Data Engineer (DBT + Airflow + Python) For NTT DATA

Permanent Payroll - Anlage Digital

Client - NTT DATA

Long term project

Notice period - Immediate joiners or 10 days joiners required

Do not share long Notice period profiles

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Description:

Location- Global Village Bangalore or Gurgaon ODC
3 days weekly WFO, may change to 5 days later

Shift- 11 am to 9 pm
Interview- 2 to 3 rounds- Final round in person from Office

Job Description: Data Engineer (DBT + Airflow + Python) | 5+ Years

Role: Data Engineer

Experience: 5+ Years
Location: Bengaluru/Gurgaon

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.

Regards,

Syed

[email protected]