Databricks Tester – Contract

66degrees

Databricks Tester with 3–5 years of experience validating data pipelines. Join 66degrees to enhance data accuracy in an AI-focused environment.

Posted 7/20/2026contractRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Testing and Validation, with strong proficiency in SQL and hands-on experience with Databricks and Delta Lake. Capable of executing comprehensive testing strategies, including regression and integration testing, while effectively communicating results to stakeholders.

Highest-signal resume keywords

Data TestingETL TestingSQL ProficiencyDatabricks ExperienceAgile/Scrum Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ValidationData ReconciliationData Transformation ValidationRegression TestingIntegration TestingEnd-to-End TestingTest Case CreationTest Scenario ExecutionSQL QueriesData Warehousing Concepts

Soft Skills

Analytical SkillsTroubleshooting SkillsCommunication Skills

Tools & Technologies

DatabricksDelta LakeJIRASpark SQL

Industry Keywords

Data PipelinesAgile CeremoniesRelational DatabasesTest Management

Tech Stack

Tools & technologies

ETLSparkSQL

About the role

Key responsibilities & impact

Validate data in Databricks Delta tables across Bronze, Silver, and Gold layers.
Perform source-to-target data validation and reconciliation.
Verify data transformations, business rules, and aggregation logic.
Execute SQL queries to validate data accuracy, completeness, consistency, and integrity.
Validate schemas, data types, null values, duplicate records, and primary key constraints.
Perform regression, integration, and end-to-end testing for data pipelines.
Create, execute, and maintain test cases and test scenarios based on business requirements.
Log, track, and manage defects using JIRA, and work closely with Data Engineers to resolve issues.
Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.
Prepare test execution reports and communicate testing status to stakeholders.

Requirements

What you’ll need

3–5 years of experience in Data Testing, ETL Testing, or Data Validation.
Hands-on experience with Databricks and Delta Lake.
Strong proficiency in SQL for data validation and reconciliation.
Experience validating ETL/ELT pipelines and data transformations.
Knowledge of Spark SQL and Databricks notebooks.
Experience with JIRA for defect tracking and test management.
Understanding of data warehousing concepts and relational databases.
Experience working in Agile/Scrum environments.
Strong analytical, troubleshooting, and communication skills.

Benefits

Comp & perks

Health insurance
Professional development opportunities