Sr. Software Engineer - Azure Databricks
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on Azure using Data Factory, Databricks, Synapse Analytics, and Data Lake.
Integrate AI/ML services including Azure AI Services, OpenAI, Machine Learning, and Cognitive Services into enterprise applications.
Monitor, optimize, and support Azure data platforms focusing on performance, scalability, cost, and security.
Minimum Requirements
3 to 6 years of hands-on experience in Data Engineering and Azure Cloud technologies.
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.
Strong proficiency in Azure Data Factory, Databricks, Synapse Analytics, Data Lake, Python, SQL, and Spark.
Experience with AI/ML integration on Azure including generative AI concepts.
Ideal Candidate Profile
Experienced in building and optimizing large-scale data pipelines and data warehouse solutions on Azure cloud environment.
Able to collaborate with cross-functional teams such as Data Scientists, AI Engineers, and Business Analysts to deliver AI-driven data solutions.
Familiar with Azure certifications (e.g., DP-203, AI-102, AZ-305) and advanced Azure services like Microsoft Fabric, RAG architectures, and semantic search integration.