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Home
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Kezan Inc
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ETL Tester

ETL Tester

Kezan Inc

8 years

0 Lacs

gurugram haryana india

Posted:1 day ago| Platform:

Apply

Skills Required

etl integrity data integration analyze design test regression testing scheduling monitoring compliance governance technology informatica talend mapping unix linux debugging communication documentation aws azure gcp automation selenium python tableau power qlik reporting hive spark

Work Mode

On-site

Job Type

Full Time

Job Description

Position:

Experience:

Location:

Joining:

Budget-14 LPA

Job Summary

ETL Tester

Key Responsibilities

Analyze business and technical requirements to design comprehensive ETL test cases and scenarios.
Validate ETL data flows, transformations, and load processes.
Perform
source-to-target data validation
to ensure data accuracy, completeness, and consistency.
Execute functional, integration, regression, and performance testing for ETL processes.
Identify, document, and track defects; work closely with developers to ensure timely resolution.
Create and maintain
test plans, test cases, and test data
for ETL processes.
Validate job scheduling, monitoring, and error handling for ETL workflows.
Collaborate with
Business Analysts, Data Engineers, and DBAs
to understand data requirements.
Ensure compliance with data governance and quality standards.

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Information Technology, or related field.
3+ years of experience
in ETL/Data Warehouse testing.
Strong experience with
SQL
for complex data validation queries.
Hands-on experience with ETL tools (e.g.,
Informatica, Talend, SSIS, DataStage, Snowflake ETL
).
Proficient in analyzing data models, mapping documents, and transformation logic.
Experience with
Unix/Linux commands
for job execution and log analysis.
Familiarity with
data warehouse concepts
(star schema, snowflake schema, fact/dimension tables).
Strong analytical, problem-solving, and debugging skills.
Excellent communication and documentation skills.

Good to Have

Knowledge of
Cloud-based ETL/Data platforms
(AWS Glue, Azure Data Factory, GCP Dataflow).
Experience with
automation testing tools
for ETL validation (e.g., QuerySurge, Selenium with DB, Python scripts).
Exposure to
BI tools
(Tableau, Power BI, Qlik) for data validation at the reporting layer.
Understanding of
Big Data
technologies (Hive, Spark, Hadoop).

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