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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop Azure Databricks-based data solutions and data pipelines to support client analytics needs.
Collaborate with cross-functional teams and mentor junior data engineers, ensuring adherence to data governance and quality standards.
Analyze complex data problems and improve data processing workflows for enhanced efficiency and actionable insights.
Minimum Requirements
4+ years of professional experience in Azure data engineering, including ADLS, Databricks, HDInsight, and Azure Analysis Services.
Mandatory experience with Big Data frameworks, specifically Hadoop and Spark, and strong SQL skills including stored procedures.
Bachelor's degree in Engineering, MCA, M.Sc, M.E, M.Tech, or MBA is required.
Proficiency in English communication (oral and written) is mandatory.
Ideal Candidate Profile
Experienced in cloud data engineering with a focus on Azure and Big Data technologies, capable of leading complex projects and mentoring peers.
Strong understanding of data management concepts, data modeling, and data warehouse lifecycle documentation.
Familiar with application DevOps tools (Git, CI/CD frameworks, Jenkins, GitLab) and capable of managing source code and deployment processes.