Quess Corp Limited
Website:
quesscorp.com
Job details:
🚀 WE ARE HIRING | Senior Data Engineering & Analytics Consultant
📍 Location: Manyata Tech Park, Bengaluru
🏢 Work Mode: Client Deployment / Hybrid Collaboration
🧠 Experience: 10+ Years (Mandatory)
Are you passionate about building modern data platforms, solving complex enterprise data challenges, and driving business transformation through scalable analytics solutions?
We are looking for a highly skilled Senior Data Engineering & Analytics Consultant to join a high-performing enterprise data transformation program within the Banking & Financial Services domain.
This role demands a strong blend of Data Engineering, API/Data Mapping, Analytics, Stakeholder Management, and Agile Delivery expertise, with exposure to modern cloud-native and data governance ecosystems.
KEY RESPONSIBILITIES
🔹 Source-to-API & Enterprise Data Mapping
- Translate business requirements into scalable data solutions by mapping UI fields, business attributes, and enterprise entities to source system APIs (batch & real-time).
- Perform BIAN-based entity/attribute mapping, request-response analysis, and end-to-end data lineage tracking.
- Drive metadata management, data traceability, and enterprise data governance practices.
🔹 Enterprise Stakeholder Engagement & Workshops
- Facilitate requirement discovery workshops with Business, Technology, Risk, Architecture, and Downstream Consumer teams.
- Collaborate with senior stakeholders to define scope, align priorities, and drive strategic data initiatives.
- Communicate effectively across technical and non-technical audiences.
🔹 Data Quality, Governance & Observability
- Design automated reconciliation, validation, and data quality frameworks across enterprise datasets and pipelines.
- Implement proactive monitoring, observability, and alerting mechanisms for data reliability.
- Ensure data completeness, consistency, compliance, and fitness-for-purpose.
🔹 Modern Data Engineering & Transformation
Build and optimize scalable, cloud-ready data pipelines using:
- Python
- SQL
- DBT
- ETL / ELT Frameworks
- API-driven integrations
Exposure to:
- Modern Data Warehousing
- Data Mesh / Data Fabric Architectures
- Cloud-native platforms (AWS / Azure / GCP)
- Splunk / Dynatrace / Observability Tools
- Real-time and streaming data ecosystems
- Fault-tolerant distributed processing frameworks
🔹 Agile Product Delivery
- Work within cross-functional Agile squads comprising Data Engineers, Architects, BAs, SMEs, and Risk teams.
- Contribute to sprint planning, backlog prioritization, iterative releases, and continuous improvement initiatives.
- Promote engineering best practices and delivery excellence.
🔹 Documentation & Enterprise Data Standards
Create and maintain enterprise-grade documentation including:
- Data Dictionaries
- Source-to-Target Mapping Documents
- API Specifications
- Technical & Functional Design Documents
- Data Models & Lineage Documentation
🔹 Analytics, Reporting & Insights
- Develop intuitive self-service dashboards and reporting solutions using:
- Power BI
- Tableau
- Qlik Sense
- Deliver actionable business insights and automate KPI/compliance reporting.
🔹 Problem Solving & Strategic Thinking
- Diagnose complex data and pipeline issues using analytical and critical thinking.
- Perform root-cause analysis and recommend scalable remediation strategies.
- Translate technical findings into meaningful business outcomes.
REQUIRED SKILLS & EXPERIENCE
✅ 10+ years of experience in Data Engineering, Analytics, or Enterprise Data Transformation
✅ Strong expertise in Python, SQL, DBT, API integrations, and enterprise data platforms
✅ Experience working in Agile delivery environments
✅ Strong communication, stakeholder management, and consulting capabilities
✅ Experience working directly with client stakeholders at onsite/client-deployed environments
GOOD TO HAVE
⭐ BIAN (Banking Industry Architecture Network) knowledge:
- Service Domain Structures
- BQ Interaction Models
- Entity & Attribute Standards
⭐ Banking / Financial Services / Risk domain exposure
⭐ Exposure to:
- Data Governance & Metadata Management
- Data Observability Platforms
- AI/ML-enabled analytics ecosystems
- Cloud migration and modernization initiatives
WHY JOIN US?
✨ Opportunity to work on large-scale enterprise transformation programs
✨ Exposure to modern cloud and data engineering ecosystems
✨ Collaborative and innovation-driven work culture
✨ High visibility role with direct stakeholder interaction
✨ Career growth in emerging Data & AI transformation initiatives
📩 Sounds interesting?
Share your updated resume at:
mashuda.khanum@quesscorp.com
Click on Apply to know more.