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Lead Data Quality Engineer Chengdu, China

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Lead Data Quality Engineer Description

Job #: 62802
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION


We are looking for an experienced Lead Data Quality Engineer in Chengdu 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.

Responsibilities

  • Fulfill the role of Lead or Key tester of Data Quality Engineering
  • 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
  • Maintain collaboration with all teams involved in Data Solution Development to ensure efficient tasks execution for achieving results
  • Client facing. Communicate and collaborate with the client for test activities (UAT, etc.)
  • Provide necessary mentoring to team members

Requirements

  • Expert at identifying Data Quality issues and Data Profiling
  • Expert at Data Quality Test Strategy Creation, Test Planning, Test Case Designing
  • Advanced Data Analysis using T-SQL, Python (familiarity with Pandas). Should be able to write complex scripts
  • Concrete experience working with Data Management, Data Quality verification/Data Governance, Data Visualization testing, Data Integration
  • Good understanding of data ingestion pipelines, data storages like: OLTP databases(MS SQL Server, Oracle), Data Warehousing, Data Lakes
  • Good understanding of time series and historical data. Good understanding of complex/retrospective historical data
  • Good at designing test harness for automated testing
  • Ideally good exposure to Azure DevOps
  • Good understanding of various ETL Tools especially ADF and Databricks
  • Understanding of CI/CD principles and best practices in data processing
  • Experience in Data analysis & requirements validation
  • Analytical approach to problem solving; excellent interpersonal and communication skills
  • Data-oriented personality. Motivated, independent, efficient and able to work under pressure with a solid sense for setting priorities
  • Ability to work in a fast-paced agile development environment
  • Skills in infrastructure troubleshooting, support in performance tuning and optimization, bottleneck problem analysis
  • Experience in different business domains is a plus
  • Intermediate (CEFR B1+) or higher level of spoken and written English
  • Bachelor’s degree or above in Computer Science, Software Engineering, Software Quality, Data Science or equivalent

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
  • Flexible working schedule
  • Compensation for sick leave and paid time off
  • Tech talks and hackathons
  • Referral bonuses

A day in the life

SALMAN TALAT
Account Manager
Toronto, Canada

IRYNA KOVALENKO
Delivery Manager
Kyiv, Ukraine

JAN MAZUREK 
Senior Business Analyst
Gdansk, Poland

DANIELLA KOROSSY
Project Manager
Budapest, Hungary

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