Back
Strong brand, metro location, and a common data-engineer title increase candidate competition density.
Core data engineering skills transfer across industries, though industrial IoT domain experience is advantageous.
Explicit 8+ years plus mandatory Azure Databricks, PySpark, Scala, and CI/CD experience raises filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable ETL/ELT data pipelines on Azure using Databricks, Data Factory, and ADLS Gen2.
Implement and manage Medallion Architecture layers ensuring data quality, governance, and scalability.
Lead data engineering initiatives including coding standards, mentoring junior engineers, and collaborating globally with product owners, data scientists, and architects.
8+ years of experience in Data Engineering and Big Data technologies.
Minimum 5 years of hands-on experience with Azure cloud platform services: Azure Databricks, Azure Data Factory, ADLS Gen2, and Azure DevOps.
Strong programming skills in PySpark, Scala, Python, and SQL for large-scale data processing.
Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
Experienced in building and optimizing distributed, large-scale data processing production solutions using Azure cloud technologies.
Proficient in modern data architectures including Data Warehousing, Lakehouse, Delta Lake, and Data Governance.
Capable of leading projects and mentoring teams with strong ownership of quality, performance, and continuous improvement.