DE&A - Core - Cloud Data Engineering - Azure Data Engineering
fa-etvl-saasfaprod1.fa.ocs.oraclecloud.com/CX_3002 DE&A - Core - Cloud Data Engineering - Azure Data Engineering
- Design and implement scalable data architectures on Azure using Databricks, Delta Lake, and Spark.
- Develop, test, and maintain ETL/ELT pipelines that ingest and transform large volumes of data.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
- Optimize performance and cost of data workloads through tuning, caching, and resource management.
- Implement data governance, security, and compliance controls in line with enterprise standards.
- Automate deployment and monitoring of data pipelines using CI/CD tools and Azure DevOps.
- Create and maintain comprehensive documentation for data models, pipelines, and processes.
- Mentor junior engineers and promote best practices in data engineering and cloud services.
- Evaluate emerging technologies and recommend enhancements to the data platform.
- Troubleshoot and resolve production issues, ensuring high availability and reliability.
- 5+ years of hands‑on experience in data engineering, with at least 3 years focused on Databricks and Azure.
- Strong proficiency in Spark (PySpark/Scala) and Delta Lake for large‑scale data processing.
- Deep understanding of Azure services such as Azure Data Lake Storage, Azure Synapse, Azure Functions, and Azure DevOps.
- Experience designing and implementing ETL/ELT pipelines using modern orchestration tools.
- Proficiency in SQL and programming languages like Python or Scala.
- Knowledge of data modeling, data warehousing concepts, and best practices for data governance.
- Demonstrated ability to optimize performance and cost in cloud environments.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative team.
- Strong communication skills to convey technical concepts to non‑technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.