ETL Tester
3 days ago
Role: ETL Tester
Exp: 4+ Yrs
Location: Hyderabad
Job Description:
We are looking for a highly skilled
ETL Tester
with strong experience in validating data pipelines, ensuring data integrity, and testing end-to-end ETL workflows. The ideal candidate will have a solid background in
ETL processes, Python, SQL, Hadoop, and PySpark
, with a keen eye for detail and a passion for delivering high-quality data solutions.
Key Responsibilities:
- Design, develop, and execute
ETL test cases
, test scripts, and test data for complex data integration projects. - Validate
data extraction, transformation, and loading (ETL)
processes across various data sources and targets. - Perform
data validation, data reconciliation
, and
data integrity testing
using SQL and Python scripts. - Collaborate with data engineers, analysts, and business teams to understand business rules and ensure accurate data delivery.
- Conduct
performance and regression testing
for ETL workflows. - Work with large-scale datasets in
Hadoop
environments using
PySpark
for data analysis and validation. - Identify, log, and track defects, and ensure timely resolution through coordination with development teams.
- Document test plans, results, and process improvements to support quality and compliance standards.
Required Skills:
- Strong experience in
ETL testing
and
data validation
methodologies. - Proficiency in
SQL
(complex queries, joins, aggregations, and data comparisons). - Hands-on experience with
Python
for test automation and data validation scripting. - Good understanding of
Hadoop ecosystem
(HDFS, Hive, Spark). - Practical experience with
PySpark
for handling big data validation. - Strong analytical and problem-solving skills with attention to detail.
- Experience working in
Agile/Scrum
environments.
Preferred Qualifications:
- Knowledge of
data warehousing
concepts and
ETL tools
(e.g., Informatica, Talend, DataStage, or similar). - Familiarity with
cloud data platforms
(e.g., AWS, Azure, GCP). - Experience with
CI/CD tools
for test automation integration.
Why Join Us:
- Opportunity to work on cutting-edge big data and ETL projects.
- Collaborative and growth-oriented environment.
- Exposure to modern data technologies and cloud ecosystems.
-
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