Data Engineer

·                     As a Data Engineer, you will be responsible for designing and implementing data solutions using Amazon's cloud technologies.
·                     The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources.
·                     You should passionately partner with business teams to identify strategic opportunities and deliver results.
·                     We're looking for someone with a strong drive to answer "why?" questions, excellent analytical abilities, and strong technical skills. Good written and verbal communication skills are essential.
·                     We're seeking a self-starter who is comfortable with ambiguity, able to think big while paying careful attention to detail, and thrives in a fast-paced, dynamic environment.

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.

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)