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Data Quality Assurance Specialist

3 weeks ago

Hyderabad, Telangana, India beBeeDataQuality Full time ₹ 9,00,000 - ₹ 12,00,000

Job Title: Data Quality Assurance Specialist

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We are seeking a detail-oriented Data Quality Assurance Specialist to ensure the accuracy and integrity of our data pipelines, data transformations, and analytics platforms.

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The ideal candidate will have experience in testing, validating, and ensuring data quality. Responsibilities include creating test strategies, designing test cases, and working closely with Data Engineers to ensure accurate data movement, transformation, and integration across different platforms.

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Key Responsibilities:

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  • Test and validate data pipelines (ETL/ELT processes) to ensure accurate data movement, transformation, and integration across different platforms">
  • Define and implement data quality checks, perform exploratory data testing, and monitor data for accuracy and consistency">
  • Design and implement automated testing strategies for data validation using frameworks/tools like PyTest, SQL queries, or custom scripts">
  • Analyze and test the performance and scalability of large-scale data solutions to ensure they meet business requirements">
  • Identify, track, and resolve data quality issues and bugs, working with teams to ensure timely resolution">
  • Ensure that data engineering solutions comply with data governance, privacy, and security standards">
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Requirements:

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We are looking for a candidate with:

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  • 3+ years of experience as a QA Engineer, Data Engineer, or similar role in data-focused environments">
  • Strong SQL skills and proficiency in writing complex SQL queries to validate and test data">
  • Familiarity with ETL/ELT tools and processes like DBT, Apache Airflow, Talend, Informatica, etc.">
  • Experience with test automation frameworks and tools such as PyTest, Robot Framework, or similar">
  • Knowledge of cloud services (AWS, GCP, Azure) and tools like Redshift, BigQuery, Snowflake, or Databricks">
  • Strong scripting and programming skills in Python, Java, or a similar language">
  • Understanding of data warehousing concepts and best practices for data validation">
  • Experience using version control tools (e.g., Git) for code and testing artifacts">
  • Experience working in Agile/Scrum teams and knowledge of CI/CD pipelines">
  • Meticulous attention to detail when it comes to data validation">
  • Exposure to big data tools such as Hadoop, Spark, or Kafka">
  • Familiarity with GDPR, CCPA, or other data privacy regulations">
  • Experience working with BI tools like Tableau, PowerBI, or Looker">
  • AWS/GCP Data Engineering or QA certifications">
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field">
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What We Offer:

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We offer a competitive compensation package, opportunities for professional growth, and a collaborative work environment.