Senior AWS Data Engineer: Lakehouse & Real-Time Pipelines
Summary
Design and build scalable AWS Data Lake and Lakehouse solutions using Glue, Lambda, Step Functions, and Kinesis to process large-scale cloud data pipelines.
Nityo Infotech in Singapore is seeking an experienced AWS Data Engineer to design and build scalable AWS Data Lake and Lakehouse solutions for large-scale cloud data platforms and digital transformation projects.
You will develop ETL/ELT pipelines with AWS Glue, Lambda, Step Functions, and EventBridge, and work with Redshift and Kinesis. Strong SQL and Python (or Scala) are required, with 3-5+ years of data engineering experience.