Senior Engineer / Lead - Quality Engineering (Mumbai)

Senior Engineer / Lead - Quality Engineering (Mumbai)

19 Sep
|
Tiger Analytics
|
Mumbai

19 Sep

Tiger Analytics

Mumbai

JD – Senior Engineer Role (QA Data Tester / BI Tester)

Role OverviewWe are looking for a Data QA Tester with strong fundamentals in ETL, Data Warehousing, and BI testing. The role focuses on executing data validation, ensuring data quality, and supporting automation and cloud-based testing initiatives.

Required Qualifications3+ years of experience in Data / ETL / BI TestingStrong hands-on experience in

SQL (mandatory)Good understanding of

ETL processes and Data Warehousing conceptsExposure to

BI testing (Power BI / Tableau)Exposure to

cloud platforms (Azure / AWS / GCP)

Core ResponsibilitiesUnderstand

business requirements, data models, and mappingsCreate and execute

test cases for ETL and data pipelinesPerform

data validation using SQL queriesValidate

BI reports and dashboards

against source dataPerform

data reconciliation

between source and target systemsTest data across

structured and semi-structured formatsIdentify, log, and track defects; support resolution with dev teamsParticipate in

SIT cycles and testing activitiesSupport

automation initiatives (Python or tools)

where applicable

Skills & ExpertiseStrong in:SQL querying and data validationETL & Data Warehousing concepts (Facts, Dimensions, Schemas)Working knowledge of:Data integration across multiple systemsBasic cloud data environmentsExposure to:Python (for validation or basic automation support)Modern platforms (Databricks / Snowflake / BigQuery / MS Fabric – awareness level)Good analytical and communication skills

Expectation from RoleIndependently execute testing tasks with minimal supervision and handle

daily internal calls with good communication skills.stakeholders with good communication skills.Deliver

high-quality data validationBuild confidence in

understanding business logic

JD – Lead Engineer Role (QA Data Tester / BI Tester | 6–9 Years)





Role OverviewWe are looking for a Lead QA Tester who can independently handle complex data testing scenarios, contribute to test strategy, and drive quality across ETL pipelines, data platforms, and BI systems. This role requires strong SQL expertise, deeper system understanding, and proactive problem-solving.

Required Qualifications6+ years of experience in Data / ETL / BI TestingStrong expertise in

SQL and data validation techniquesStrong hands-on experience in

ETL and Data WarehousingExperience in

BI testing (Power BI / Tableau)Hands-on exposure to

cloud platforms (Azure / AWS / GCP)Hands-on exposure to

data automation (Python)Experience in

test planning and test strategy contribution

Core ResponsibilitiesAnalyze

complex data models, mappings, and transformationsDesign and execute

end-to-end data testing scenarios (SIT/UAT)Perform advanced

data validation and reconciliation using SQLValidate

BI reports with complex business logicHandle data validation across:StructuredSemi-structured (JSON, XML, Parqet)Unstructured data (basic understanding)Identify data issues, perform

root cause analysis , and suggest fixesContribute to

test strategy, test planning, and estimationGuide team members on

testing approach and best practicesWork closely with

business, dev, and data engineering teams

Skills & ExpertiseStrong expertise in:ETL Testing & Data Warehousing conceptsComplex SQL (joins, aggregations, performance-aware queries)BI report validationHands-on experience in:Python for data validation / automation (writing reusable scripts)Good exposure to:Data platforms: Databricks, Snowflake, BigQuery, MS FabricCloud ecosystems: Azure / AWS / GCPStrong debugging and analytical skills

Expectation from RoleHandle

complex testing independently and stakeholders with valuable communication skills.Act as a

go-to person for data validation challengesContribute to

improving testing processes and efficiencySupport and guide junior team members (without full ownership)

📌 Senior Engineer / Lead - Quality Engineering (Mumbai)
🏢 Tiger Analytics
📍 Mumbai

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