Senior Data Engineer

About Persistent

We are an AI-led platform-driven Digital Engineering and Enterprise Modernization partner combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India and numerous innovators across the healthcare ecosystem.

Our disruptors mindset commitment to client success and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation leadership and inclusion. We reported $1654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24sequential quarters of growth with $436.0M in Q4 FY26 revenue up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27500global team members located in 18 countries have been instrumental in helping the market leaders transform their industries. We have been recognized as theFastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in theEverest Group Private Equity (PE) Services PEAK MatrixAssessment 2026andSoftware Product Engineering PEAK MatrixAssessment 2026.

AboutPosition:

We are looking for a highly skilled Senior Data Engineer with expertise in SQL Cloud Data Platforms Data Architecture and Data Integration to design and build scalable secure and high-performance data solutions. The ideal candidate will be responsible for developing modern data architectures building reliable data pipelines optimizing data platforms and enabling data-driven decision-making across the organization.

• Role:Senior Data Engineer
• Location:Bengaluru
• Experience:5to8Years
• JobType:Full-TimeEmployment

WhatYoullDo:

• Design develop and optimize complex SQL queries stored procedures CTEs window functions and database objects.
• Perform query tuning execution plan analysis indexing and partitioning to improve database performance and scalability.
• Build and maintain scalable data pipelines for data ingestion transformation and analytics workloads.
• Design and implement modern data architectures covering ingestion storage processing and compute layers.
• Work with cloud-based data warehouses including Snowflake BigQuery Redshift and Azure SQL.
• Develop and manage cloud-native data solutions across AWS Azure and GCP platforms.
• Integrate data from multiple structured semi-structured and unstructured data sources.
• Develop and maintain ETL/ELT workflows using tools such as Airflow Azure Data Factory (ADF) AWS Glue Databricks or similar platforms.
• Automate data processes to improve reliability scalability operational efficiency and reduce manual intervention.
• Ensure data quality governance security compliance and data lineage standards are maintained across the data ecosystem.
• Collaborate with Data Analysts Data Scientists Product Managers and Business Teams to understand business requirements.
• Translate business requirements into scalable and maintainable data engineering solutions.
• Monitor troubleshoot and optimize data pipelines workflows database performance and platform health.
• Participate in architecture reviews and contribute to data platform modernization initiatives.
• Mentor junior data engineers and promote engineering best practices coding standards and technical excellence.
• Create technical documentation architecture diagrams operational runbooks and deployment guides.

ExpertiseYoullBring:

• 6yearsofexperienceinDataEngineeringDataWarehousingorrelatedfields.
• AdvancedexpertiseinSQLincludingcomplexquerywritingstoredproceduresCTEs windowfunctionsandqueryoptimization.
• Strongexperienceindatabaseperformancetuningexecutionplananalysisindexing strategiesandpartitioning.
• HandsonexperiencewithrelationaldatabasesandclouddatawarehousessuchasSnowflakeBigQueryAmazonRedshiftandAzureSQL.
• Experiencedesigningandimplementingscalabledataarchitecturesandmoderndata platforms.
• StrongknowledgeofAWSAzureandGCPcloudservicesfordataengineering workloads.
• ExperiencebuildingandmanagingETL/ELTpipelinesandenterprisedataintegration solutions.
• HandsonexperiencewithworkfloworchestrationtoolssuchasApacheAirflowAzure DataFactory(ADF)AWSGlueDatabricksorsimilarplatforms.
• Experienceintegratingstructuredsemi-structuredandunstructureddatasources.
• Strongunderstandingofdatamodelingdatawarehousingconceptsandanalytics platforms.
• ProficiencyinPythonSQLorotherdataengineeringprogramminglanguages.
• Knowledgeofdatagovernancesecuritycomplianceanddataqualitybestpractices.
• Experienceworkingwithlarge-scaledataprocessingandanalyticsenvironments.
• Stronganalyticaltroubleshootingandproblem-solvingskills.
• Excellentcommunicationandstakeholdermanagementskills.
• Experiencementoringjuniorengineersandleadingtechnicalbestpractices.
• AbilitytocollaborateeffectivelywithbusinessandtechnicalstakeholdersinAgile deliveryenvironments.

Benefits:

• Competitivesalaryandbenefitspackage
• Culturefocusedontalentdevelopmentwithquarterlygrowthopportunitiesandcompany-sponsoredhighereducationandcertifications
• Opportunitytoworkwithcutting-edgetechnologies
• EmployeeengagementinitiativessuchasprojectpartiesflexibleworkhoursandLongServiceawards
• Annualhealthcheck-ups
• Insurancecoverage:grouptermlifepersonalaccidentandMediclaimhospitalizationforselfspousetwochildrenandparents

Values-DrivenPeople-Centric&InclusiveWorkEnvironment:

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• Wesupporthybridworkandflexiblehourstofitdiverselifestyles.
• Ourofficeisaccessibilityfriendlywithergonomicsetupsandassistivetechnologiesto supportemployeeswithphysicaldisabilities.
• Ifyouareapersonwithdisabilitiesandhavespecificrequirementspleaseinformus duringtheapplicationprocessoratanytimeduringyouremployment

LetsunleashyourfullpotentialatPersistent- harassmentofanykind.