ETL Tester (Databricks & Big Data)

Tesslogs IT Solutions; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tesslogs IT Solutions is seeking an experienced ETL Tester to validate data processes across the organization. The role focuses on data validation, ETL testing, Databricks, and Big Data technologies to ensure data quality and reliability.

You will design test plans, execute data validation scripts, and collaborate with data engineers and business teams to resolve defects across large-scale data pipelines.

Qualifications

• 5-10 years of experience in ETL and data warehouse testing.
• Hands-on Databricks experience.
• Strong SQL skills with complex queries.
• Experience validating source-to-target data and data quality.

Responsibilities

• Perform ETL testing and validate data transformation, migration, and integration.
• Test data pipelines and workflows built using Databricks and Big Data technologies.
• Validate source-to-target data mapping, data completeness, accuracy, and consistency.
• Write and execute complex SQL queries for data validation and reconciliation.
• Perform data quality testing, including null checks, duplicate checks, and integrity validation.
• Test large volumes of structured and semi-structured data in Big Data environments.
• Collaborate with data engineers, developers, and business teams to resolve data-related defects.
• Prepare test plans, test cases, test scripts, and test execution reports.
• Perform regression testing and support defect tracking and resolution.
• Validate data processing and transformation logic across data pipelines.

Skills

ETL testing

Data warehouse testing

Databricks

Big Data testing

SQL queries

Data validation

Data reconciliation

Tools

Databricks

Apache Spark

PySpark

Job description

We are looking for an experienced ETL Tester with strong expertise in data validation, ETL testing, Databricks, and Big Data technologies.

Experience

5-10 Years

Location

PAN India

Notice Period

Immediate / 15 Days

Key Responsibilities

• Perform ETL testing and validate data transformation, migration, and integration processes.
• Test data pipelines and workflows built using Databricks and Big Data technologies.
• Validate source-to-target data mapping, data completeness, accuracy, and consistency.
• Write and execute complex SQL queries for data validation and reconciliation.
• Perform data quality testing, including null checks, duplicate checks, and integrity validation.
• Test large volumes of structured and semi-structured data in Big Data environments.
• Collaborate with data engineers, developers, and business teams to identify and resolve data-related defects.
• Prepare test plans, test cases, test scripts, and test execution reports.
• Perform regression testing and support defect tracking and resolution.
• Validate data processing and transformation logic across data pipelines.

Mandatory Skills

• Strong experience in ETL testing and data warehouse testing.
• Hands-on experience with Databricks.
• Experience with Big Data testing and large-scale data processing.
• Strong SQL skills, including complex queries, joins, aggregations, and subqueries.
• Experience in source-to-target data validation and data reconciliation.
• Knowledge of data quality testing and data pipeline validation.
• Experience working with data warehouses and data integration processes.

Best Regards,

[e-mail]

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