Job Description
SUMMARY: As a Senior Data Engineer, you will be responsible for designing, building, and maintaining efficient and reliable data pipelines on the Google Cloud Platform (GCP). This role requires a strong background in GCP services and a proven track record of creating effective data solutions that align with business requirements. We are looking for candidates who are as excited about pushing their own development as they are about advancing our technology stack. Our core developers are passionate about software engineering and enjoy developing their skills and abilities in a friendly and supportive environment of keen learners. WHAT WILL YOU BE DOING: You will join our engineering team and be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following: Engineer robust data pipelines for extracting, transforming, and loading (ETL) data into GCP (Google Cloud Platform) Design and implement scalable and efficient data models on GCP (Google Cloud Platform) Develop and maintain data architecture, ensuring optimal performance and reliability Utilize GCP's big data services such as BigQuery, Dataflow, and Dataprep for large-scale data processing Implement and maintain data security measures following industry best practices Collaborating with product management teams to understand their requirements Manage and maintain changes to tracking specifications based on product and feature teams requirements Communicate your needs clearly and responsibly WHAT WE ARE LOOKING FOR: Deep understanding of GCP as a platform, its capabilities and services Experience with Dataflow, BigQuery, Pub/Sub, Cloud Functions, and Memorystore / Redis Strong experience with database management and optimization, including experience with SQL and NoSQL databases. This includes an in-depth understanding of data modelling, storage, and efficient querying techniques Strong analytical and problem-solving skills to resolve complex technical issues
