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Job Description
Structured overview of role & requirementsAbout This Role
Design, build and optimize scalable batch and streaming data pipelines using Apache Spark and cloud-native data platforms like Microsoft Fabric and OneLake.
Develop and implement enterprise data models, storage strategies, and ETL/ELT frameworks to support analytics, reporting, AI/ML, and data-driven decision making.
Provide technical leadership as a senior individual contributor by mentoring junior engineers, driving best practices, and collaborating across teams to deliver trusted, reusable, and scalable data solutions.
Minimum Requirements
Strong experience in Data Engineering with expertise in Apache Spark (PySpark/Spark SQL).
Experience with Microsoft Fabric, OneLake, Lakehouse Architecture, Data Warehouse, and Semantic Models.
Proficient in SQL, data modeling, CI/CD, and cloud-based data platform environments.
Work Experience Required: At least 2 years preferred; 4-year Bachelor's degree preferred or equivalent combination of education and experience.
Ideal Candidate Profile
Experienced individual contributor with strong technical leadership skills in modern data engineering practices and big data technologies.
Proficient in building scalable, high-performance data platforms and enterprise-scale data solutions in Agile delivery environments.
Capable of mentoring junior engineers and collaborating with cross-functional teams including analytics, data science, platform, security, and business stakeholders.