NTT America, Inc.
Business Intelligence Specialist
Bangalore, Karnataka, India
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- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
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the posting
**India T&M Special Bonus:** **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**
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