We are seeking a highly skilled and hands-on Data Engineer with 6+ years of experience in designing, developing, and maintaining scalable cloud-based data platforms. This is an individual contributor role focused on building robust data pipelines, optimizing data
processing, and delivering analytics-ready datasets using Microsoft Azure technologies.

The ideal candidate should possess strong expertise in Azure data services and SQL, along with practical experience in developing batch data pipelines and exposure to streaming technologies. You will collaborate with architects, analytics teams, QA, DevOps, and business stakeholders in a global delivery workplace.
Job Description:
Role: Data Engineer
Experience: 6 - 8 Years
Location: Bangalore ·

Key Responsibilities
Data Engineering & Development
• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) / Azure Databricks / Azure Data Lake Storage.
• Develop high-performance SQL-based data transformation workflows.
• Build and optimize analytics-ready data models for reporting and business intelligence.




• Process and manage large-scale structured and semi-structured datasets.
• Implement best practices for data modeling, partitioning, schema evolution, and data validation.
Platform & Operations
• Support deployment, execution, and maintenance of Azure data pipelines across development, testing, and production environments.
• Monitor pipeline performance, data quality, and platform health.
• Troubleshoot production issues, perform root cause analysis, and implement preventive solutions.
• Ensure Azure security, scalability, reliability, and cost optimization best practices are followed. Collaboration & Delivery
• Work closely with architects, business analysts, QA, DevOps, and analytics teams to understand business requirements.
• Translate business needs into scalable Azure-based data solutions.
• Participate in code reviews, technical documentation, and engineering best practices.
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📌 Data Engineer (Bengaluru)
🏢 dentsu
📍 Bengaluru