Location: Bangalore,
Experience Required: 10+ Years
We are looking for an experienced Azure Data Engineer with 10+ years in Data Engineering to join our Bangalore-based team. You’ll work on large-scale data platforms with a focus on Azure and Snowflake, handling complex financial and retail datasets.
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Design, develop, and maintain scalable and robust data pipelines using Azure services.
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Build and optimize data architectures including data lakes and data warehouses.
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Integrate, model, and orchestrate complex finance-related datasets across multiple systems.
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Collaborate with cross-functional teams to gather business requirements and translate them into data solutions.
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Ensure data quality, reliability, and governance through automated data integrity checks and monitoring systems.
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Tune performance and conduct bottleneck analysis across data platforms and pipelines.
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Implement CI/CD pipelines for data workflows and infrastructure as code practices.
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Work with Kafka and similar real-time data streaming platforms.
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Apply best practices in data engineering and DevOps frameworks to promote reusable and modular architecture.
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10+ years of experience in Data Engineering, with a strong focus on the Azure ecosystem.
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Solid experience with Azure Data Factory, Azure Databricks, Azure Synapse, and other Azure data services.
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Hands-on experience with Snowflake or similar cloud-based data warehouses.
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Proficiency in SQL, Python, PowerShell, and JavaScript.
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Experience handling large-volume datasets, ideally in the retail industry.
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Strong background in performance tuning, optimization, and data troubleshooting in complex environments.
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Familiarity with Kafka for data streaming and event-driven architecture.
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Experience with CI/CD, DevOps principles, and monitoring tools.
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Excellent communication skills with the ability to work in fast-paced, dynamic teams.
