AWS Data Engineer

Skills: AWS Data Engineer (Spark, AWS, Glue)
Job Description: 
Must Skill:
- Work with development teams and other project leaders/stakeholders to provide technical solutions that enable
business capabilities
- Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze
large disparate datasets
- Build robust data pipelines on the Cloud using AWS Glue, Aurora Postgres, EKS, Redshift, PySpark, Lambda, and
Snowflake.
- Build Rest-based Data API using Python and Lambda.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data
sources using SQL and AWS ‘big data’ technologies.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Implement architectures to handle large-scale data and its organization
- Execute strategies that inform data design and architecture partnering with enterprise standard
- Work across teams to deliver meaningful reference architectures that outline architecture principles and best
practices for technology advancement