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 environment.
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.
• Contribute effectively within Agile delivery teams supporting global clients.
Mandatory Skills
Azure Cloud & Data Engineering
• Hands-on experience in delivering Azure-based data engineering solutions.
• Strong expertise in any 2 of the below:
o Azure Data Lake Storage
o Azure Data Factory (ADF)
o Azure Databricks
o Azure Synapse Analytics
• Experience designing cloud-native data lakes and analytical data platforms.
• Good understanding of batch data processing and basic streaming concepts.
SQL (Mandatory)
• Strong proficiency in SQL.
• Experience writing complex queries, joins, aggregations, window functions, and performance-optimized transformations.
• Hands-on experience working with large datasets in Azure Synapse and Databricks.
• Strong understanding of data modeling, data transformations, and query performance tuning.
Good to have: Strong understanding of Microsoft Fabric
Location:
BangaloreBrand:
BcoeTime Type:
Full timeContract Type:
Permanentdentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
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