Job Description:
Data Engineer (Azure, Real-Time, Analytics & Data Platforms)

Role Summary

We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data systems that power analytics, reporting, and enterprise applications. This role is responsible for implementing robust data pipelines, database solutions, and integration frameworks, ensuring high data quality, reliability, and performance across platforms.

The ideal candidate will bring robust expertise in data architecture, ETL/ELT development, and database engineering, with the ability to work across cross-functional teams to deliver production-grade data solutions.

Core Responsibilities

Data Architecture & Modeling
Design and maintain enterprise data models supporting SaaS applications and reporting platforms
Develop logical and physical database architectures
Design normalized and denormalized schemas based on performance requirements
Define data standards, naming conventions, and governance frameworks
Design scalable, multi-tenant data structures





Database Engineering & Performance Optimization
Develop complex SQL queries, views, stored procedures, and functions
Analyze query execution plans and implement performance tuning strategies
Design indexing strategies to optimize data access and performance
Resolve database bottlenecks, locking, and contention issues
Implement partitioning and archival strategies for large datasets
Monitor and tune database performance in production settings

Change Data Capture (CDC) & Incremental Processing
Design and implement CDC frameworks for near real-time data synchronization
Build incremental data processing pipelines to optimize performance
Track inserts, updates, and deletes across source systems
Implement reconciliation processes to ensure data consistency
Maintain data lineage and change tracking across systems
Support event-driven and near real-time data architectures

ETL / ELT Enginee

📌 Data Engineer Bengaluru (India)
🏢 Dentsu (ANZ) Management Services
📍 India