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Data Engineer

3 days, 18 hours ago
Vietnam
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD Databricks dbt Docker EC2 GitHub Actions Kubernetes Python SQL Terraform
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qode

qode

qode is a company that focuses on unlocking global opportunities and unleashing potential through no-code solutions. They provide tools and services to help individuals and businesses develop software without the need for traditional coding skills.

Internet Software & Services
View All Jobs 17

Description

  • Design and build scalable ETL/ELT pipelines using batch and streaming approaches.
  • Develop ingestion workflows from databases, APIs, and event streams.
  • Implement full load, incremental load, and CDC ingestion strategies.
  • Orchestrate and monitor data workflows using Apache Airflow.
  • Manage data connectors and ingestion processes using Airbyte.
  • Build and optimize data processing pipelines in Databricks Lakehouse.
  • Write complex SQL for analytics, transformation, and query optimization.
  • Create modular, testable data models with dbt across staging, intermediate, and marts layers.
  • Maintain data quality, observability, and reliability across the data platform.
  • Document pipelines, data models, and data dictionaries for long-term maintainability.

Requirements

  • At least 5 years of experience in Data Engineering.
  • Strong understanding of data architectures including Data Lake, Data Warehouse, and Lakehouse.
  • Hands-on experience with ETL/ELT pipelines, including batch and streaming processing.
  • Familiarity with ingestion patterns such as full load, incremental, CDC, and event-driven.
  • Experience with Databricks, including Delta Live Tables, Jobs, and Notebooks.
  • Strong skills in PySpark or Spark SQL for large-scale data processing.
  • Solid understanding of Delta Lake concepts such as ACID, time travel, and schema evolution.
  • Experience with Apache Airflow, including DAGs, scheduling, and monitoring.
  • Experience with Airbyte or similar ingestion tools.
  • Strong SQL skills, including CTEs, joins, window functions, and query optimization.
  • Experience with dbt for transformation, testing, and documentation.
  • Hands-on experience with AWS services such as S3, Lambda, EC2, and IAM.
  • Nice to have: Experience with Docker and Kubernetes (EKS).
  • Nice to have: Experience running Airflow or Airbyte on Kubernetes.
  • Nice to have: Familiarity with data quality tools such as Great Expectations or Soda.
  • Nice to have: Experience with Terraform or other Infrastructure as Code tools.
  • Nice to have: Exposure to data governance or catalog tools such as Databricks Catalog.
  • Nice to have: Experience with CI/CD pipelines such as GitHub Actions.
  • Nice to have: Strong Python skills for automation and pipeline scripting.

Benefits

  • Attractive salary range, open to negotiation for strong candidates.
  • Hybrid/remote-friendly culture with flexibility to work where you perform best.
  • Flexible hours with asynchronous teamwork and protected focus time.
  • Work equipment support.
  • Allowance for certification and skill development.
  • Year-end bonus and performance-based rewards.
  • 15 paid leave days per year.
  • Career growth support with personal coaching sessions.

Interested in this position?

Apply directly on the company website

Apply Now

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