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Data Engineer

8 hours, 21 minutes ago
Vietnam
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Databricks dbt Docker EC2 GitHub Actions Kubernetes Python SQL Terraform
Apply Now
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 18

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 data workflows using Apache Airflow.
  • Manage data connectors using Airbyte.
  • Build and optimize data processing pipelines in Databricks Lakehouse.
  • Write and optimize complex SQL queries for analytics and transformation.
  • Develop modular, testable data models with dbt across staging, intermediate, and mart layers.
  • Maintain data quality, observability, and reliability across the platform.
  • Work with AWS services such as S3, Lambda, EC2, and IAM, and containerize data services with Docker and Kubernetes when needed.
  • Document pipelines, data models, and data dictionaries for maintainability.

Requirements

  • At least 4 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 load, CDC, and event-driven workflows.
  • 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, and IAM.
  • English communication skills at C1 level or higher.
  • Experience with Docker and Kubernetes (EKS) is preferred.
  • Experience running Airflow or Airbyte on Kubernetes is preferred.
  • Familiarity with data quality tools such as Great Expectations or Soda is preferred.
  • Experience with Terraform or other Infrastructure as Code tools is preferred.
  • Exposure to data governance or catalog tools such as Databricks Catalog is preferred.
  • Experience with CI/CD pipelines such as GitHub Actions is preferred.
  • Strong Python skills for automation and pipeline scripting are preferred.

Benefits

  • Attractive salary range, with room for negotiation for strong candidates.
  • Hybrid/remote-friendly culture.
  • Flexible working hours with async teamwork.
  • Work equipment support.
  • Allowance for certification and skill development.
  • Year-end bonus and performance-based rewards.
  • 22 paid leave days starting from the 5th year, including the option to take a full month off.
  • Career growth supported by personal coaching sessions.

Interested in this position?

Apply directly on the company website

Apply Now

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