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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro-based, popular Data Engineer title with moderate brand and Azure specialization leads to medium competition.
Azure/Databricks specialization moderately reduces transferability, but core data engineering skills remain broadly transferable.
Azure, Databricks, and Python requirements without explicit years imply medium shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design and develop robust batch and streaming data pipelines using Microsoft Azure PaaS technologies.
Serve as data engineering subject matter expert, driving delivery of digital services and products aligned with company strategy.
Ensure infrastructure and tools support digitalization roadmap and enable data-driven decision-making across the organization.
Minimum Requirements
Proven hands-on experience programming in Python or PySpark with Microsoft Azure data technologies (Databricks, Data Lake, Event Hub, SQL Server).
Academic degree in Computer Science, Data Engineering or related field (M.Sc., M.Tech, or B.Tech).
Experience working with DevOps pipelines; knowledge of Infrastructure as Code tools (ARM, Bicep, Terraform) is a plus.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced with end-to-end data platform development in cloud environments, particularly Azure, with strong focus on scalable, maintainable pipelines.
Capable of collaborating cross-functionally with Data Scientists and Business Development teams to integrate technical and business needs.
Comfortable operating in fast-paced, multicultural teams with ownership of complex, strategic digital projects.