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EY

EYP-DnA Associate Manager

EY

. Conceptualize, design, develop, deploy and maintain complex technology solutions for client business problems .

Posted 10/16/2026full-timeHyderabad • IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data warehousing, ETL processes, and cloud migration strategies, with a strong focus on Azure technologies and data governance. Proven ability to design and implement complex data solutions that drive business intelligence and analytics.

Highest-signal resume keywords
Data Warehousing ExpertiseETL Process DesignAzure Data Factory ExperienceCloud Migration StrategiesBusiness Intelligence Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data ArchitectureETL ProcessingData ModelingData IntegrationData MigrationDatabase DesignData GovernanceAnalytics ReportingPerformance TuningCloud Platforms
Soft Skills
Excellent Communication SkillsMentoringCollaboration
Tools & Technologies
Azure Data LakeAzure Synapse AnalyticsPower BIKafkaAzure Analysis ServicesDatabricksAlteryxTableauMicroStrategyCognos
Certifications & Qualifications
Bachelor's Degree in Computer ScienceAdvanced Degree Preferred
Industry Keywords
Business IntelligenceData Warehousing Best PracticesSDLCBig Four ExperienceData Engineering

Tech Stack

Tools & technologies
AWSAzureCloudCognosETLGoogle Cloud PlatformKafkaNoSQLSDLCTableau

About the role

Key responsibilities & impact
  • Conceptualize, design, develop, deploy and maintain complex technology solutions for client business problems
  • Support cloud and on-premises platform analytics and data engineering projects
  • Design and evolve modern data warehousing solutions and data integration build-outs
  • Create design specifications, documentation, data migration mappings and transformations
  • Define robust ETL processing for structured and unstructured data
  • Create data marts and self-service OLAP capabilities for decision analytics reporting
  • Evaluate and select data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration
  • Design, develop and test workflows in ETL tool environments
  • Provide technical guidance to data warehouse and business intelligence developers
  • Coordinate data governance, data harvesting, cloud implementation strategy, privacy and security initiatives
  • Manage data orchestration, ingestion, ETL and reporting architecture across on-premises and cloud platforms
  • Assist with performance tuning of ETL and database processes
  • Collaborate with technical architects, product and business SMEs, backend developers and solution architects
  • Work in an onshore-facing capacity

Requirements

What you’ll need
  • Minimum of 9 years of total experience, with 6+ years in data warehousing/business intelligence
  • 6+ years of professional experience creating and implementing data warehouses on client engagements
  • Strong knowledge of data architecture, staging and reporting schemas, data models and cutover strategies
  • Experience with medium to complex on-premises-to-cloud migrations using AWS, Azure or GCP
  • Minimum 3+ years of experience with Azure database offerings, including relational, NoSQL and data warehouse
  • 2+ years of hands-on experience with Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services and Databricks preferred
  • Minimum 3 years of database design, modelling and integration experience with relational data sources
  • Experience with Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy or SSAS Cubes
  • Understanding of BI and data warehousing best practices, analysis, visualization and current trends
  • Experience with SDLC and product development practices
  • Bachelor's or equivalent degree in computer science or related field required
  • Advanced degree or equivalent business experience preferred
  • Hands-on data engineering experience building analytical data records and manipulating/analyzing large volumes of data
  • Minimum 10 to 12 years of relevant work experience in a Big Four or technology/consulting setup
  • Excellent written and verbal communication skills
  • Willingness to mentor team members
  • Willingness to travel extensively and work on client sites or practice office locations

Benefits

Comp & perks
  • Continuous learning opportunities
  • Tools and flexibility to make a meaningful impact
  • Insights, coaching and confidence-building leadership development
  • Diverse and inclusive culture
  • Opportunities to collaborate on global projects with well-known brands
  • Opportunities to work with EY teams across service lines, geographies and sectors