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Senior Data Engineer

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NTT DATA

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Location:
Thailand , Bangkok

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Senior Data Engineer at NTT DATA will be responsible for designing and maintaining cloud-based data platforms, ensuring high data quality and compliance. The role requires strong expertise in AWS, GCP, or Azure, along with proficiency in Python and SQL. A bachelor’s or master’s degree in a related field is required, along with 5+ years of experience in data engineering. The candidate will lead the development of scalable data solutions and mentor junior engineers.

Job Responsibility:

  • Design, build, and maintain scalable and secure data pipelines on cloud platforms (AWS/GCP/Azure)
  • Architect and implement data lake, data warehouse, and data mart solutions for enterprise workloads
  • Develop and optimize ETL/ELT pipelines using modern tools and cloud-native services
  • Work closely with Data Analysts, Data Scientists, and Business teams to support analytical and ML use cases
  • Ensure high data quality, governance, security, and compliance across all data systems
  • Implement best practices in data modeling, data partitioning, orchestration, and workflows
  • Lead performance tuning, cost optimization, and reliability improvements for cloud data pipelines
  • Build CI/CD pipelines and infrastructure as code (IaC) for data platform automation
  • Evaluate and introduce new technologies and frameworks to enhance the data ecosystem
  • Mentor junior engineers and lead technical discussions within the data team

Requirements:

  • Bachelor’s or master’s in computer science, Engineering, Data Science, or related fields
  • 5+ years of experience in Data Engineering or related fields
  • Strong expertise with one or more major cloud platforms: AWS: Redshift, Glue, S3, EMR, Kinesis, Lambda
  • GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, GCS
  • Azure: Synapse, ADLS, Data Factory, Databricks
  • Proficient in Python, SQL, and at least one distributed processing framework (Spark, Beam, Databricks)
  • Strong experience with ETL/ELT pipelines and data workflow orchestration tools (Airflow, Cloud Composer, Dagster, Prefect)
  • Experience with IaC (Terraform, CloudFormation, CDK)
  • Excellent understanding of data modeling (OLTP, OLAP, star schema, snowflake schema)
  • Familiarity with DevOps and CI/CD for data engineering
  • Strong problem‑solving skills and ability to work in a fast‑paced environment

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
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