Back
Metro location and popular data role balanced by seniority and specialized Azure/Databricks skills.
Data engineering skills are transferable but Azure/Databricks specialization and enterprise domain require moderate domain fit.
Explicit 8+ years plus mandatory Azure Databricks, ADF, SQL, and data platform experience increases strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain data solutions primarily using Databricks and Azure Data Factory with strong emphasis on ETL processes.
Translate business requirements into technical data models and architectures supporting business intelligence and analytics.
Lead implementation and lifecycle operation of data platforms, ensuring data quality, availability, and cross-functional collaboration.
Minimum 8 years of professional experience in Data Engineering or related Cloud Data Platform fields.
Proficiency with Azure Data Factory, Databricks, Azure Data Lake, Azure Synapse, Azure Blob Storage, and SQL Data Warehouse.
Experience in creating and optimizing ETL pipelines, SQL stored procedures, and related data integration technologies.
Diploma or Bachelor's degree in Computer Science, IT, Electronics, or Communications.
Experienced in end-to-end data platform delivery covering both development and operational support phases.
Able to provide technical leadership on implementation details and collaborate with analytics, business, and executive teams.
Knowledgeable in advanced data engineering practices including DevOps, CI/CD, data lineage, metadata management, and emerging technologies like streaming and containerized services.