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Home
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Jobs in gurugram
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Kezan Inc
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Big Data Tester

Big Data Tester

Kezan Inc

3 years

0 Lacs

gurugram haryana india

Posted:2 days ago| Platform:

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Skills Required

data sql testing etl hadoop design test strategies reconciliation hive spark sqoop resolve automate compliance governance agile technology joins aggregations scripting python unix management jira aws azure gcp automation

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Experience:

Location:

Employment Type:

Job Summary:

Big Data Tester with strong SQL expertise

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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