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Data Quality Engineer Shenzhen, China

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Data Quality Engineer Description

Job #: 49429
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION



We are looking for an experienced Data Quality Engineer in Shenzhen to make the team stronger.

We Value


Value the individuals – We encourage and motivate people to grow. We perceive our people as a source of our success;
Strive for excellence – We strive for the highest standards of excellence and continuously learn. We take pride in our engineering and accomplishments;
Act as a team – We treat one another with respect and encourage the best ideas to come from anywhere within the organization. We value our diversity;
Focus on Customers – We build long term customer relationships, as we strive to always understand our customers' business and needs;
Act with integrity – We operate legally, honestly and ethically. We take responsibility for our actions.

Project technologies and tools

  • SQL - MSSQL, PostgreSQL, MySQL, Oracle
  • Big Data - Hadoop, HDFS, Hive, Spark, Kafka
  • ETL - MS SSIS, Talend, MicroStrategy
  • Cloud - AWS / Azure
  • Streaming Data Processing - Spark Streaming, Kafka
  • Python, Java, Scala - pySpark, boto3, pymssql
  • Rest API testing tool: Postman, JMeter
  • Performance Testing: e.g. JMeter, Locust
  • Http Network Tools: Fiddler, Charles
  • Shell - Linux / Windows
  • Data Visualization: Tableau, Power BI
  • Data Generation
  • Test Management Tools: e.g. TestRail, JIRA
  • CI / CD principles & tools (e.g. Jenkins)
  • Version Control Systems (e.g. Git, SVN)

Responsibilities

  • Play the Data Quality Engineer role
  • Design and Implement quality verification of data products strategy and ensure that all areas of the business needs perform to the defined standards
  • Choose proper Data tools and defining priorities, risk and attributes in quality testing strategy
  • Prepare Data Quality environments and applications in compliance with the standards (test data sets preparation, data profiling and bench marking)
  • Work with product and engineering and customer teams to understand requirements to implement quality testing strategy
  • Perform data migration, data processing and data comparison testing, analyze issues’ root causes and work with developers to fix the technical issues
  • Perform data performance testing, analyze performance bottlenecks and provide performance tuning suggestions
  • Maintain collaboration with all teams involved in Data Solution Development to ensure efficient tasks execution for achieving results
  • Collaborate with end users for acceptance test activities (UAT)

Requirements

  • Minimum of 2 years of relevant experience
  • Bachelor’s degree or above in Computer Science, Software Engineering, Mathematics, Data Science or related majors
  • Engineering experience and practice in Data Management, Data Quality verification/Data Governance, Data Visualization testing, Data Integration
  • Familiar with concepts of DATAHOUE, DATAMART
  • Familiar with Hadoop working suits as well as Hive, Spark, HBase
  • Test Automation working experience with Python or Java
  • Understanding of CI / CD principles and best practices in data processing
  • Data-oriented personality. Motivated, independent, efficient and able to work under pressure with a solid sense for setting priorities
  • Fast learning abilities and capabilities to adjust to new environments quickly
  • Ability to work in a fast-paced agile development environment
  • Skills in infrastructure troubleshooting, support in performance tuning and optimization, bottleneck problem analysis
  • Analytical approach to problem solving; excellent interpersonal and communication skills
  • Experienced in different business domains
  • Intermediate (CEFR B1) or higher level of spoken and written English

We offer

  • Experience exchange with colleagues all around the world
  • International projects
  • Opportunities for self-realization
  • Friendly team and enjoyable working environment
  • Engineering, corporate and social events
  • Professional & soft skills trainings, medical & family care programs, and forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
  • Free English classes
  • Online training course library, mentoring, career development and potential partial grant of certification
  • Unlimited access to LinkedIn learning solutions
  • Flexible working schedule
  • Compensation for sick leave and paid time off
  • Tech talks and hackathons
  • Referral bonuses
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