Data Engineer (Spark, AWS Glue, Python) (Onboard ASAP)

We are seeking a highly skilled Data Engineer with deep expertise in Spark and AWS Glue to design, develop, and maintain scalable ETL pipelines. The ideal candidate will have experience working with large-scale data processing, cloud-native services, and modern data architecture.Responsibilities:Collaborate with stakeholders to communicate complex technical concepts effectively.Provide technical guidance and mentorship to junior engineers and architects.Actively participate in the evaluation and selection data modeling and technologies.Design, develop, and optimize ETL/ELT pipelines using AWS Glue and PythonBuild and maintain data lakes and data warehouses on AWS (e.g., S3, Redshift).Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.Implement data quality, governance, and security best practices.Monitor and troubleshoot Spark jobs and Glue workflows for performance and reliability.Develop and maintain documentation for data workflows and architecture.Ensure the quality delivery for batch ETL