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Senior Data Quality Engineer

EPAM Systems

EPAM Systems

Data Science, Quality Assurance
Remote
Posted on Friday, March 15, 2024

Senior Data Quality Engineer Description

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.

We are looking for an experienced Senior Data Quality Engineer to join our remote team and lead a project focused on ensuring the accuracy and completeness of data in our organization.

In this role, you will be responsible for designing, developing, and executing automated tests to validate data quality, as well as identifying and resolving data quality issues. You will work closely with cross-functional teams to ensure that data meets the organization's requirements and standards.

If you have a passion for data quality and have a proven track record of designing and implementing automated tests, we want to hear from you.

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Technologies

  • Programming Languages: Python
  • SQL - MSSQL, PostgreSQL, MySQL, Oracle
  • Big Data - Hadoop, HDFS, Hive, Spark, Kafka, Flume, Sqoop
  • NoSQL – Cassandra, HBase, MongoDB
  • Data Visualization: Tableau, Tibco Spotfire, Power BI
  • ETL - MS SSIS, Talend, MicroStrategy
  • Cloud - AWS/Azure/GCP - Storage; Compute; Networking; Identity and Security; Notebooks; Data Catalogs
  • MDM tools
  • Data Generation
  • Test Management Tools: TestRail, Zephyr
  • Performance Testing: JMeter
  • CI/CD principles & tools: Jenkins
  • Queues and Stream processing
  • Version Control Systems: Git, SVN

Responsibilities

  • Be responsible for data product testing and quality of deliverables on the project
  • Data quality implementation and improving data quality as the main goal
  • Establish data testing approach and test design, data quality checks across the data lifecycle
  • Work on priorities to achieve better data quality on the project within a tight schedule
  • Design and implement data testing strategy concerning system architecture and data flows
  • Plan and estimate required resources to conduct data product/flow testing and validation concerning company/industry / governmental standards
  • Design and develop a data quality framework according to the identified data product strategy (define critical data, controls, and quality targets, set thresholds and alerts, etc.)
  • Understand, design, and implement automated data quality checks

Requirements

  • 3+ years of software engineering experience and practice in Data Management, Data Quality verification/Data Governance, Data Visualization testing, Data Integration
  • Familiar with concepts of data ingestion pipelines, and data storage like OLTP databases, Data Warehousing, Data Lakes
  • Understanding of the ETL process and test strategy for ETL
  • Strong SQL experience
  • Experience with scripting/automation
  • Knowledge and practical experience in data validation
  • Familiar with test documentation concepts, such as test strategies, test plans, etc
  • Familiar with testing methods - TDD, BDT, DDT
  • Analytical approach to problem-solving; excellent interpersonal and communication skills
  • Experience in Data analysis & requirements validation
  • Data-oriented personality; motivated, independent, efficient, and able to work under pressure with a solid sense for setting priorities
  • Experience in direct customer communications
  • Skills in infrastructure troubleshooting, support in performance tuning and optimization, bottleneck problem analysis
  • Understanding of CI/CD principles

Nice to have

  • Knowledge of Java , Scala, Bash, xpath
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Certifications in data quality or software engineering

We offer

  • Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation
  • Lunch Allowance - You will receive a daily allowance of CLP $ 7.000 per working day. Enjoy a nice meal on us
  • Allowance for internet and electricity - You will receive an allowance of CLP$15.000 per month to cover internet and electricity expense
  • National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September
  • Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!
  • Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
  • Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
  • Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home