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)
Any Graduate