Senior Data Engineer

KHỐI VĂN PHÒNG Toàn thời gian

Mô tả công việc

1. Responsibilities for Data Engineer at GGG:

  • Create and maintain optimal data pipeline architecture
  • Extract large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal ETL pipeline from a wide variety of data sources using Python, SQL and Hadoop eco-system technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with stakeholders including the Executive, Marketing, Accounting, Finance, etc teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data scientist and analytics to strive for greater functionality in our data systems

2. Qualifications for Data Engineer at GGG

  • 3- 5 years of experience in a Data Engineer role.
  • Having a degree in Computer Science, Information Systems, Software Engineering or another related field.
  • Wide knowledge about software products using in F&B field is a plus
  • Having a degree in Statistics, Informatics is a plus

Should also have experience using most of the following software/tools/platforms:

  • Experience with programming languages such as Python, Scala...
  • Advanced working SQL knowledge and experience working with relational SQL and NoSQL databases as well as working familiarity with a variety of data sets: SQL Server, MySQL, PostgreSQL, MongoDB, … etc
  • Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi...
  • Experience with big data tools: Hadoop Yarn, Hive, Spark, Presto... etc
  • Experience with both OLAP and OLTP database: design data model, optimization database, optimization query.
  • Experience with reporting or BI tools: Zeppelin, Redash, Metabase or PowerBI, Tableau is a plus
  • Having Data Engineer certification from major cloud providers is a plus.

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