Senior Data Engineer: DBT, Airflow & Python

NTT DATA, Inc.

Indianapolis (IN)

In loco

USD 110.000 - 150.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Descrizione del lavoro

NTT DATA, Inc. is seeking an experienced Data Engineer to design and maintain scalable data pipelines using DBT, Airflow, and Python. The role emphasizes ETL/ELT development, data quality, and collaboration with stakeholders to deliver analytics-ready data.

You will work with Snowflake, AWS services, and other cloud data warehouses to build enterprise-grade data solutions, ensuring performance and reliability across pipelines.

Competenze

  • Minimum 5+ years of data engineering experience.
  • Hands-on with DBT, Airflow, and Python for ETL/ELT.
  • Strong SQL skills and data modeling knowledge.
  • Experience with enterprise-scale pipelines and Git versioning.

Mansioni

  • Design and maintain scalable ETL/ELT pipelines using Python, DBT, and Airflow.
  • Develop DBT models, tests, and macros for data transformation.
  • Manage Airflow DAGs for orchestration, scheduling, and monitoring.
  • Implement data quality checks and reconciliation across pipelines.
  • Collaborate with architects, analysts, and stakeholders to meet data needs.
  • Work with JSON/CSV/Parquet formats and integrate data sources into warehouses.
  • Troubleshoot pipeline failures and optimize performance.
  • Follow best practices for coding, version control, testing, and deployment.

Conoscenze

DBT
Airflow
Python
SQL
ETL/ELT
Data Modeling
Git
Cloud Data Platforms

Formazione

Bachelor's degree

Strumenti

Snowflake
Redshift
BigQuery
AWS

Descrizione del lavoro

NTT DATA, Inc. is seeking an experienced Data Engineer to design and maintain scalable data pipelines using DBT, Airflow, and Python. The role emphasizes ETL/ELT development, data quality, and collaboration with stakeholders to deliver analytics-ready data.

You will work with Snowflake, AWS services, and other cloud data warehouses to build enterprise-grade data solutions, ensuring performance and reliability across pipelines.

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