AWS Data Engineer

Job Description

Job Description

AWS Data Engineer (Spark, AWS, Glue)

Location : Fort Mill SC (Hybrid)

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\

Minimum 10 years for experience in data engineering.