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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and manage scalable, robust data pipelines and architectures using Azure Fabric, Databricks, and Snowflake.
Optimize data workflows for reliability, scalability, and performance while ensuring data security and compliance.
Collaborate with data analysts, scientists, and engineers to deliver tailored, efficient data solutions and enhance analytics capabilities.
Minimum Requirements
Bachelor's degree or higher in Computer Science, Data Engineering, Information Technology, or related field.
Minimum 3 years of professional experience as a Data Engineer or in a similar role.
Proficiency with Azure Fabric, Databricks, Snowflake, and programming skills in SQL and/or Python.
Hands-on experience with data pipeline tools, cloud services, big data technologies (Spark, Hadoop, Kafka), and data modeling (ETL/ELT).
Ideal Candidate Profile
Experienced in designing and maintaining enterprise-scale data platforms with cloud focus (Azure ecosystem preferred).
Able to optimize and troubleshoot complex data workflows ensuring performance and security compliance.
Capable of collaborating effectively across technical and non-technical teams to translate business data needs into operational data solutions.