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Tier-1 brand, metro location, and popular Data Engineer title increase candidate competition.
Data engineering skills on Azure and Spark are highly transferable across industries.
Strong mandatory Azure Databricks, Spark, Delta Lake, and CI/CD requirements without explicit years.
Design, develop, and maintain scalable data pipelines and platforms using Azure Databricks, Apache Spark, and Delta Lake architectures.
Implement data governance, security, and CI/CD practices to ensure data quality and platform reliability.
Monitor production environments, troubleshoot issues, and contribute to reporting, analytics, and AI initiatives through robust data infrastructure.
Hands-on experience with Azure Databricks, Apache Spark, and Delta Lake (bronze, silver, gold layers).
Experience with Azure Data Lake Storage, Data Factory, and related cloud data services.
Experience implementing CI/CD for data engineering workflows.
Work Experience Required: Substantial experience in data engineering with big data technologies.
Experienced in building modern cloud-based data platforms using Azure ecosystem components and big data frameworks.
Proficient in enforcing data governance, security standards, and monitoring distributed data environments.
Able to collaborate effectively within Agile, cross-functional teams and contribute to technical knowledge sharing.