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Senior Data Engineer (Databricks, PySpark & Big Data Pipelines)

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Onsite

Senior Data Engineer (Databricks, PySpark & Big Data Pipelines)

Hitachi Digital Services Vietnam

Senior Data Engineer (Databricks, PySpark & Big Data Pipelines)

Skills

SQL QueriesBig DataDockerPythonData SciencepandasKafkaDatabricksData AnalysisMachine LearningKubernetesPySparkApache AirflowAzure

6 days ago

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Important information


Contract type:

Permanent

Location:

Ho Chi Minh City, Vietnam

Work mode:

Onsite

Published on:

16 October 2026

What they need


Senior Data Engineer (Databricks, PySpark & Big Data Pipelines)

  • Job ID / Requisition ID: R0148413
  • Location: Ho Chi Minh City, Vietnam
  • Company: Hitachi Digital Services

About the Role

Fuel machine learning and operational intelligence at enterprise scale. Hitachi Digital Services is hiring a Senior Data Engineer to join our Data Science team, building scalable data pipelines, optimizing big data workflows, and engineering reusable datasets on Databricks.

Key Responsibilities

  • Pipeline Engineering: Design, build, and maintain high-throughput batch and streaming data pipelines within Databricks.
  • Analytics & Feature Engineering: Transform raw telemetry into curated data tables and feature stores to power advanced Data Science and ML models.
  • Query Optimization: Diagnose data anomalies, fine-tune SQL queries, and optimize PySpark processing logic for performance and scalability.
  • Orchestration & Streaming: Manage data workflows using Airflow and ingest large-scale event streams using Kafka.
  • Collaborative Delivery: Partner closely with Data Scientists and engineering stakeholders to productionize analytical pipelines in an Agile environment.

Qualifications

  • Strong experience building production data platforms using Databricks.
  • Deep technical proficiency in PySpark, Python (Pandas), and advanced SQL.
  • Hands-on familiarity with workflow orchestration (Airflow) and event streaming (Kafka).
  • Experience handling large-scale datasets, data modeling, and performance tuning.
  • Nice to have: Exposure to Delta Lake, Flink, containerization (Docker, Kubernetes), or Azure Data platforms.
  • Good communication and stakeholder collaboration skills.

Key Benefits

  • 14 months' salary per year.
  • 100% salary-based Social Insurance & $3,000/year Private Insurance.
  • Hybrid work & Online interviews.
  • 14+ days of Annual Leave.
  • International onsite opportunities.

Job Type: Full-time

Pay: Up to 90,000,000₫ per month

Work Location: Hybrid remote in Thành phố Hồ Chí Minh

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