AWS Data Engineer

- 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.