Cloud Engineering Expert for Large-Scale Analytics Projects
6 days ago
KSmart Staffing Solutions seeks a highly skilled Cloud Engineering Expert to lead large-scale analytics projects on Google Cloud Platform.
About the RoleThis is a challenging and rewarding opportunity for an experienced Data Engineer to design, implement, and manage complex data pipelines, leveraging expertise in cloud technologies like Apache Beam, Google Dataflow, and Spark. The ideal candidate will have a deep understanding of cloud architecture, data integration, and preparation tools, as well as experience with SQL development, Java, and Python programming languages.
Key Responsibilities:- Design and implement scalable data pipelines using Google Cloud Platform components, such as Big Query, Big Table, Cloud Storage, and Datastore.
- Develop and maintain data integration and preparation tools using cloud technologies, including Snaplogic, Google Dataflow, and Cloud Dataprep.
- Leverage expertise in SQL development to create efficient data queries, ETL processes, and data warehouse solutions.
- Collaborate with cross-functional teams to identify downstream implications of data loads and migrations, ensuring data quality, regulatory compliance, and best practices for pipeline operations.
- Implement data pipelines to automate ingestion, transformation, and augmentation of data sources, providing best practices for pipeline operations.
- 4-7 years of experience in IT or professional services experience in IT delivery or large-scale IT analytics projects.
- Expert knowledge of Google Cloud Platform, with experience in designing, implementing, and managing cloud-based data architectures.
- Advanced SQL writing skills and experience in data mining, ETL, data warehouse, and using databases in a business environment with complex datasets.
- Certified in Google Professional Data Engineer/Solution Architect is a major advantage.
- Competitive salary: $150,000 - $200,000 per annum.
- Opportunity to work with a leading staffing solutions company.
- Collaborative and dynamic work environment.
This role is based in [location], with the option to work remotely.
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