ETL Tester

4 days ago

Gurgaon, Haryana, India Kezan Consulting Full time

Position : ETL Tester (Python+ Fast API) Immediate Joiner can Apply.

Experience : 4 - 8 years.

Location : (Gurugram / Bangalore ).

Joining : Immediate can apply.

Job Summary :

We are looking for a skilled ETL Tester to ensure the quality, integrity, and performance of our data integration processes.

The role involves validating ETL jobs, verifying data accuracy between source and target systems, and ensuring adherence to business requirements.

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 :

- Bachelors 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).

(ref:hirist.tech)

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