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Data Engineer (Middle/Senior)

    Middle, Senior

    location

    Ho Chi Minh

    time

    Full-time

Signing bonus up to 20M for applying and onboarding in Aug - Sep 2024

JOB DESCRIPTION

  • Design, develop, and maintain scalable data pipelines using Apache Airflow, DBT and other related tools.
  • Implement and manage ETL processes to ingest data from various sources, including Google DataStream, Redpanda and Kafka, into Google BigQuery.
  • Collaborate with Data Analysts and Data Scientists to ensure that the data architecture supports their requirements for reporting and analysis.
  • Build and maintain CI/CD pipelines for data-related projects using Git and other related tools.
  • Monitor and troubleshoot data pipelines to ensure reliability and performance.
  • Implement data governance and best practices to ensure data quality and security.
  • Work with stakeholders across the organization to gather requirements and deliver data solutions that drive business impact.

JOB REQUIREMENTS

MUST HAVE SKILLS:

  • 4+ years of experience in data engineering or a related field.
  • Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
  • Hands-on experience with Apache Airflow, DBT or other related tools.
  • Strong proficiency in Python for data manipulation, transformation, and automation.
  • Demonstrated proficiency in one or more implementations of SQL (e.g. MySQL, BigQuery)
  • Familiarity with CI/CD, Kubernetes practices and tools, particularly Git.
  • Experience with streaming data platforms such as Google DataStream, Redpanda and Kafka.
  • Strong problem-solving skills and the ability to work with large, complex data sets.
  • Understanding of data governance, data security, and best practices in data management.

NICE TO HAVE SKILLS:

  • Experience with cloud platforms, particularly Google Cloud Platform (GCP).
  • Familiarity with data visualization tools like Tableau, PowerBI, or Apache Superset.
  • Experience in a fast-paced, high-growth environment, such as a startup or tech company.
  • Knowledge of other data storage and processing technologies (e.g., Snowflake, Kafka).
  • Strong communication skills with the ability to collaborate with cross-functional teams.

Skills Tags: Python, Data Engineer, SQL, DB, Tableau, PowerBI

BENEFITS

Competitive Salary and Brilliant Health Benefits

  • Attractive salary (13th-month salary, salary review twice/year) and project bonus
  • Bonus programs for candidate referral, technical article writing
  • Interest-free loan support for personal plan 
  • Allowance for sickness, maternity and paternity and Periodic health examination
  • PVI health care program The staff of the quarter and year reward
  • Progressive and Fun Working Environment

  • A professional English-speaking working environment with Agile – Scrum model
  • Hybrid Working Model: Flexible working time and WFH support. 
  • Surrounded with friendly, open-minded, young and supportive colleagues Annual company trip and regular team-building parties, party celebration (Christmas, Birthday, Mid-autumn,...), Sports clubs (football, badminton, swimming …)
  • Valuable Training

  • Sponsor examination fee for professional certificates (AWS, Azure, IELTS, PMP, Scrum Master,...)
  • Sponsor fee for joining any technical training sessions and courses.
  • Free English workshops
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