Lakehouse Platfom Test Analyst
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Summary
Senior test analyst on a Lakehouse/data platform team: designs and runs functional, integration, regression, and end-to-end tests for data pipelines, doing SQL-based data validation and Python test automation integrated into CI/CD. Preferred stack includes Databricks, Spark/PySpark, cloud platforms, Airflow, and Kafka. Contract role, India remote working EST hours.
COE - Lakehouse Platform Testing - B2 – India (remote) - 1 positionThis req is for offshore, a similar req is created for nearshore #23774. ask is to fill this position asap, if offshore then the resource has to work in EST work hours BR: $34/hr (*flagging that margins will be low to neg)Desired Start Date: ASAPDuration: through 3/31/27 (high likelihood of 2 year ext)Location & Time Zone Requirements: India remote, time zone: EST preferredADP/QF Supervisor: TheresaNS Supervisor: TheresaSOW Status: ExistingQAI Laptop Needed? yesPriority: P0Interview Process:1. COE 2. Raj3. Client interview (1-2 rounds, TBD (could also be 1 round with 2 people from client))If there’s client interview, what will the client specifically evaluate? Top 3 Must Haves:1. Lakehouse Platform & Data Pipeline Testing2. SQL & Python Test Automation3. Integration, Regression & CI/CD TestingExperience5+ years of software/data testing experience, with 3+ years focused on data platforms, Lakehouse, data pipelines, or cloud data environments.Preferred Skills:Databricks, Delta Lake, Apache Spark/PySparkAWS, Azure, or GCPAirflow / ADF / GlueKafka / CDCData Quality and Performance TestingWhat job titles, industries, companies, technologies, or keywords should recruiters target?JD:Role SummaryWe are seeking a Senior Lakehouse Platform Test Engineer with strong experience in testing modern Lakehouse and data platforms. The role will focus on validating data pipelines, framework and configuration changes, integrations, and end-to-end data flows while ensuring platform stability and data quality.Key ResponsibilitiesDesign and execute functional, integration, regression, and end-to-end testing for Lakehouse platforms and data pipelines.Validate pipeline, framework, configuration, schema, and platform changes.Perform data validation, reconciliation, and transformation testing using SQL.Develop automated testing and data validation solutions using Python.Build and maintain regression and integration test suites.Integrate automated testing into CI/CD pipelines.Troubleshoot test and pipeline failures and perform root-cause analysis.Collaborate with Data Engineering, Platform Engineering, DevOps, and Architecture teams.Support production releases and post-deployment validation.Required SkillsStrong Lakehouse/Data Platform knowledgeLakehouse/Data Pipeline TestingFramework & Configuration TestingIntegration & Regression TestingStrong SQLStrong PythonTest AutomationCI/CD & GitETL/ELT and Data ValidationTroubleshooting and Root-Cause AnalysisPreferred SkillsDatabricks, Delta Lake, Apache Spark/PySparkAWS, Azure, or GCPAirflow / ADF / GlueKafka / CDCData Quality and Performance Testing