Design and maintain robust data pipelines using AWS and collaborate with stakeholders to deliver effective data solutions.
• Design, develop, and maintain robust data pipelines using AWS AppFlow and AWS Glue
• Orchestrate and manage end-to-end data workflows to ensure reliability, scalability, and high performance
• Collaborate with cross-functional stakeholders to understand data requirements and deliver effective, business-aligned solutions
• Monitor, optimize, and troubleshoot data pipelines and ETL processes to improve efficiency and stability
• Ensure data quality, consistency, integrity, and availability across the entire data platform
• Proficiency in workflow orchestration tools such as Airflow or similar platforms
• Hands-on experience working with Snowflake for data warehousing and analytics
• Strong understanding of data engineering fundamentals, including ETL/ELT processes and scalable pipeline design
• Experience with Azure services, including Azure Storage, Azure Data Factory, and Event Grid
• Working knowledge of AWS cloud services such as S3, EC2, EKS, and Lambda
• Strong SQL skills for data transformation and pipeline development, along with experience using DBT
Increasingly builds a security alert monitoring platform that enables organizations to prioritize and escalate threats swiftly and effectively. Its focus on ensuring timely response based on defined SLAs makes it an essential tool for businesses looking to enhance their cybersecurity posture.
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Data Engineer Q&A's