We are looking for a highly skilled Data Engineer with strong expertise in real-time streaming technologies and enterprise data engineering to join a leading digital transformation initiative within the banking domain.
The ideal candidate should have hands-on experience in designing scalable data platforms, enterprise data warehousing, streaming pipelines, and up-to-date data architectures using technologies such as Apache Flink, Kafka, and Java.
This role will be responsible for building and managing enterprise-grade data ecosystems that support real-time analytics, regulatory reporting, business intelligence, and digital banking products.
Enterprise Data Engineering & Modeling
Design, develop, and manage Enterprise Data Warehouse (EDW) models including:
Conceptual
Logical
Physical
Virtual data models
Build scalable and optimized data models for enterprise analytics and reporting.
Design and implement:
Raw Data Vault
Data Lake
Data Warehouse
Data Marts
Define standards and best practices for data modeling methodologies and design patterns.
Real-Time Data Streaming
Design and develop real-time streaming pipelines using:
Apache Kafka
Apache Flink
Java
Build low-latency, high-throughput streaming architectures for banking and financial systems.
Handle real-time ingestion, transformation, enrichment, and processing of large-scale datasets.
Data Architecture & Governance
Recommend and implement suitable data storage technologies including:
RDBMS
NoSQL
Big Data platforms
Document Databases
Define metadata management, data lineage,



business glossary, ownership, and derivation logic.
Drive data quality, profiling, governance, and master data management initiatives.
Establish standards for:
Naming conventions
Data definitions
Documentation
Change management
Stakeholder & Delivery Management
Collaborate with business, analytics, and engineering teams to deliver scalable data solutions.
Liaise with operational and support teams to ensure data processing SLAs are maintained.
Guide developers and data modelers on enterprise data architecture and best practices.
Support adoption of modern data warehouse technologies and banking industry-standard data models.
Required Skills & Experience
Core Technical Skills
Strong experience in:
Apache Flink
Apache Kafka
Java
Real-time streaming architectures
Expertise in:
Enterprise Data Warehousing (EDW)
Data Modeling
Data Lake architectures
Data Vault modeling
Strong SQL and database design skills.
Experience with relational and non-relational databases.
Preferred Experience
Banking or financial services domain experience is highly preferred.
Experience working on digital banking, payments, analytics, or enterprise data transformation programs.
Exposure to cloud-based data platforms and big data ecosystems is a plus.
Preferred Candidate Profile
Strong problem-solving and analytical mindset.
Ability to work in large enterprise environments.
Experience handling high-volume, mission-critical data systems.
Excellent communication and stakeholder management skills.

📌 Data Engineer - Enterprise (Bengaluru)
🏢 GSSTech Group
📍 Bengaluru