
Big Data Tester
6 days ago
Job Title:
Big Data Tester (SQL)
Experience:
3+Years
Location:
[Gurugram/Bangalore]
Employment Type:
Full-Time
Job Summary:
We are seeking a highly skilled
Big Data Tester with strong SQL expertise
to join our team. The ideal candidate will be responsible for validating, testing, and ensuring the quality of large-scale data pipelines, data lakes, and big data platforms. This role requires expertise in SQL, Big Data testing frameworks, ETL processes, and hands-on experience with Hadoop ecosystem tools.
Key Responsibilities:
- Design, develop, and execute test strategies for
Big Data applications and pipelines
. - Perform
data validation, reconciliation, and quality checks
on large datasets. - Write and execute complex
SQL queries
for data validation and analysis. - Validate data ingestion from multiple sources (structured/unstructured) into Hadoop/Big Data platforms.
- Conduct testing for
ETL jobs, data transformations, and data loading processes
. - Work with
Hadoop, Hive, Spark, Sqoop, HDFS, and related Big Data tools
. - Identify, document, and track defects; collaborate with developers and data engineers to resolve issues.
- Automate data validation and testing processes where possible.
- Ensure compliance with
data governance, quality standards, and best practices
. - Work in an
Agile environment
with cross-functional teams.
Required Skills & Qualifications:
- Bachelor's degree
in Computer Science, Information Technology, or related field. - 3+ years of experience in
Data/ETL/Big Data testing
. - Strong
SQL skills
(complex queries, joins, aggregations, window functions). - Hands-on experience with
Big Data tools
: Hadoop, Hive, Spark, HDFS, Sqoop, Impala (any relevant). - Experience in testing
ETL processes and Data Warehousing solutions
. - Familiarity with
scripting languages
(Python/Unix Shell) for test automation. - Knowledge of
defect management and test case management tools
(e.g., JIRA, HP ALM). - Strong analytical and problem-solving skills.
Good to Have:
- Exposure to
Cloud platforms
(AWS, Azure, GCP) with Big Data services. - Experience with
automation frameworks
for Big Data testing. - Understanding of
CI/CD pipelines
for data projects.
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