Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize scalable data pipelines, data products, and analytics solutions using Spark, Python, SQL, and modern cloud data platforms.
Develop cloud-native data solutions using Azure services and enterprise data platforms such as Databricks, Microsoft Fabric, Snowflake, or Sigma.
Support AI-enabled data delivery applying machine learning, agentic AI frameworks, and platform-native AI capabilities to improve data access, analytics, and automation.
Minimum Requirements
Bachelor’s degree or equivalent experience.
5 to 8 years of relevant experience in data engineering or related technology roles.
Proficiency in Spark, Python, SQL, modern data engineering frameworks, and cloud platforms including Azure.
Work Experience Required: 5 to 8 years in data engineering or related technology roles.
Ideal Candidate Profile
Experience with agentic AI frameworks like LangChain, LangGraph, AutoGen, Semantic Kernel.
Strong understanding of Large Language Models, prompt engineering, vector databases, semantic search, and AI solution evaluation.
Demonstrated ability to translate complex business needs into reusable and standardized data engineering solutions, emphasizing AI-enabled product delivery.