Description

Key job responsibilities:
·  Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
·  Contribute to the architecture and implementation of next-generation data solutions from the ground up.
·  Manage AWS resources, including S3, Athena, Batch, Lambda etc.
·  Optimize automated processes for performance and fault tolerance.
·  Optimize support for ad-hoc analysis across various data sources
·  Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high-quality data architecture and pipelines.
·  Make large and/or complex data more accessible, understandable and usable by applications and teams.

BASIC QUALIFICATIONS:
·  3+ years of data engineering experience
·  Experience with data modelling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS:
·  Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
·  Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)

Education

Any Graduate