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Job Description
Structured overview of role & requirementsAbout This Role
Design and maintain scalable, secure integration solutions using Azure Data Factory, Databricks, and Azure Functions to enable seamless data flow and high-performance processing.
Lead development of end-to-end data pipelines and Databricks-based lakehouse architecture including Delta Lake and medallion layers to process large-scale datasets.
Develop and manage REST APIs and event-driven messaging solutions with Azure API Management, Event Hub, Event Grid, and Service Bus ensuring 99.9% uptime and optimized performance.
Minimum Requirements
5+ years experience in Data Engineering or Data Platform development.
3+ years hands-on experience with Azure Databricks and strong proficiency in PySpark and SQL.
Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure Functions, Logic Apps, and Azure API Management.
Work Experience Required: 5+ years in relevant data platform or integration roles.
Ideal Candidate Profile
Experienced in enterprise-scale data pipeline architecture and integration solutions on the Azure ecosystem with strong focus on Databricks and data lakehouse design.
Capable of handling full SDLC in Agile environments, translating complex requirements into technical designs, and optimizing Spark and Azure services for cost and performance.
Has a design-first, quality-focused approach and proven ability to communicate technical concepts clearly to varied stakeholders while driving ownership and technical leadership.