This role involves understanding and documenting scope and requirements through interactions with analysts and stakeholders. The engineer will design and develop scalable code for custom ETL pipelines using big data technologies on a Cloud platform. Responsibilities include designing and developing code to ingest data from various sources like relational databases, APIs, and files, as well as developing complex SQL transformations on BigQuery and optimizing code and queries. The role also requires adherence to and contribution to engineering best practices for source control using Github, release management, and deployment. Additionally, the engineer will provide production support, job scheduling/monitoring, ETL data quality, and data quality reporting. The position contributes to software development and business management by solving business-related software problems through data modeling, analysis, and prediction, and by establishing/supporting software and infrastructure that continuously grows to strategically analyze big data. The engineer will understand and implement software data analysis strategies that meet business strategy and establish and operate software and infrastructure capable of collecting, analyzing, and predicting big data (structured/unstructured). Designing and operating software structures that maintain data integrity, proceeding with software data models for business-related decision-making, evaluating data model consistency, and establishing a software security system for data to protect from unauthorized users are also key aspects of this role.
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Job Type
Full-time
Career Level
Entry Level