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Data Quality Engineer

iXoop Infotech

 

Dallas, TX, USA

Posted On: 4 days ago
Experience: 8+ years
Availability: Onsite
Openings: 1
Category: Data Quality Engineer
Tenure: No Preference/Any
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Description

You will own data quality and validation for large-scale migration and transformation projects.

This role is on-site.

Responsibilities

  • Execute data migration testing, moving data from Teradata to Redshift.
  • Validate ETL processes across Cloud and On-Prem environments using Informatica, Ab Initio, or Glue.
  • Develop and maintain automation frameworks for API, REST, and UI testing.
  • Build and manage CI/CD pipelines within DevOps and DataOps workflows.
  • Perform complex data validation across Data Warehouses, Data Lakes, and Big Data environments.

Required Skills

  • 8+ years of experience in data quality and testing.
  • Expertise in SQL with hands-on experience writing complex queries.
  • Extensive experience with DBMS including Oracle, Teradata, SQL Server, DB2, Redshift, Postgres, and Sybase.
  • Proficiency in Python scripting and Unix/Linux scripting.
  • Deep knowledge of AWS services including Athena, EMR, Redshift, Glue, Kinesis, Kafka (MSK), and SageMaker.
  • Experience with NoSQL and unstructured data such as MongoDB, Cassandra, Redis, and ZooKeeper.
  • Hands-on experience with MapReduce tools including Hadoop, Hive, Pig, and Kafka.
  • Technical proficiency in Java, JavaScript, and API testing using RestAssured or SoapUI.
  • Experience with automation tools including Selenium, BDD/Cucumber, SpecFlow, and Cypress.

Preferred Skills

  • Experience with large-scale, multi-year data transformation projects.

Education

Any Graduate

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