Data Engineer

• 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