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Open nowFirst seen 7 hours ago

Senior Data (GCP)

Dikshatek689 open roles

Where
Hồ Chí Minh, Ho Chi Minh City, Vietnam
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Your applicationOpen nowSenior Data (GCP)Dikshatek · Hồ Chí Minh, Ho Chi Minh City, Vietnam

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 7 hours ago

The posting

Role Summary:

As a Data Engineer, you will contribute to designing, maintaining, and enhancing various data services and infrastructure. You'll work with cross-functional teams to ensure seamless data flow for critical decision-making processes.

Key Activities:

  • Data Infrastructure Design and Maintenance: Support the architecture, maintenance, and enhancement of analytical and operational services and infrastructure, including data lakes, databases, data pipelines, and metadata repositories.
  • Collaboration: Assist in designing and implementing data schemas and models, integrating new data sources, and collaborating with other data engineers to implement cutting-edge technologies.
  • Data Processing: Develop and optimize data processing systems to support the organization's growth and improvement initiatives.
  • Workflow Management: Use workflow scheduling and monitoring tools like Apache Airflow to ensure efficient data processing and management.
  • Quality Assurance: Implement testing strategies to ensure the reliability and usability of data processing systems.
  • Continuous Improvement: Stay updated on emerging technologies and best practices in data engineering and propose optimizations.

Required Skills:

  • Technical Expertise: Proficient in Unix environments, cloud computing (GCP), Python frameworks (e.g., pandas, pyspark), version control systems (e.g., git), and workflow scheduling tools (e.g., Apache Airflow).
  • Database Proficiency: Experience with columnar and big data databases like Athena, Redshift, and Hive/Hadoop.
  • Containerization: Experience with container management tools like Docker and Kubernetes.
  • CI/CD: Knowledge of CI/CD tools such as Jenkins or CircleCI.
  • Experience: Minimum of 6 years of experience in data engineering or related fields.

Nice-to-have requirements:

  • Programming Languages: Familiarity with JVM languages like Java or Scala.
  • Database Technologies: Experience with RDBMS (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., DynamoDB).
  • BI Tools: Exposure to enterprise BI tools like Tableau or PowerBI.
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