GCP Data Engineer

As a Data Engineer, you'll focus on solving problems and creating value for the business by building solutions that are reliable and scalable to work with the size and scope of the company. You will be tasked with creating a custom-built pipeline on the GCP stack, and you will be part of teams that implement vendor-sourced enterprise software, configuring that software, customising it, and integrating it with other internal systems.

Responsibilities:

• Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence, among others.
• Building Modular code for a multi-usable pipeline or any kind of complex Ingestion Framework used to ease the job of loading data into a data lake or Data Warehouse from multiple sources.
• Work closely with analysts and business process owners to translate business requirements into technical solutions.
• Coding experience in scripting and languages (Shell scripting, Python, SQL).
• Maintain the highest levels of development practices, including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability.
• Understanding CI/CD Processes using Github, Cloud Build, and Google Cloud SDK.

Requirements:

• 5+ years of industry experience in software development, data engineering, business intelligence, or related field with experience in manipulating, processing, and extracting value from datasets.
• Expertise in Google Cloud Platform (GCP) technologies in the data warehousing space (BigQuery, Cloud SQL, Dataflow, Data Catalogue, Cloud Composer, Cloud SDK, Cloud Pub/Sub, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion, Dataproc (good to have), Bigtable).
• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.

Bonus Points:

• GCP Certified Data Engineer (preferred).
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.