Data Engineers

Website Mekong Big Data

Making Your Data Pay

We are looking for talented data engineers who will help us architect, design, and develop database solutions to capture, store and retrieve vast amounts of data, ensure functionality, and help us deliver even better products. Your primary focus will be leading, consulting, and implementing database solutions, configure information systems, and analyze structural requirements for new software and applications, which also involve building, optimizing, and maintaining logical and physical database models. You have the opportunity to apply your skills and impact client’s businesses. This is both a “hands-on” and client-facing position requiring solid technical skills to ensure database operational readiness (security, health, and performance), as well as excellent soft skills like interpersonal and communication.

Roles and Responsibilities

  • Gather business requirement and user stories 
  • Provide advisory and consultation on data engineering while liaison among stakeholders to drive implementation success  
  • Design and implement databases infrastructure solutions to meet usability and performance needs
  • Design and evaluate data model
  • Apply ETL/ETL (extract, transform, load) best practices for data pipeline with SQL and other tools
  • Monitor data quality to ensure consistency, integrity, and availability of data
  • Be able to conduct unit testing at the data level
  • Control data row-level security access 
  • Write and maintain documentation for data governance
  • Migrate data from legacy systems to new solutions

Skills and Qualifications 

  • Experience with programming languages:  SQL, Python
  • Experience with big data like Hadoop, Spark, and Hive will be highly desirable 
  • Familiarity with ETL and data warehousing tools such as Talend, Airflow, SSIS
  • Familiar with common database systems
    • Relational Databases (RDMS): Postgres, MySQL, Oracle, MS SQL Server 
    • Cloud computing and database: Redshift, Azure SQL Database…
    • NoSQL Databases: MongoDB, Cassandra, HBase
    • Big Data: Hadoop, Spark, MapReduce, Hive, and Pig
    • Graph Database: Neo4j 
  • Soft and interpersonal skills: 
    • Great communication skills; able to present results to a non-technical audience
    • Attention to detail. Be a detective to identify and fix database problems and data quality 
    • Creativity in solving problems; think inside and outside the box to connect dots  
    • Positive and can-do attitude yet humble; get excited about learnings and challenging work
    • Ability to abstract general principles from specifics
    • Strong desire to establish standards of best practice, automation workflow, and framework
  • Bachelor degree or higher in relevant subjects such as software engineering, data engineering, computer science, statistics, economics, physics, mathematics, or related fields 


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