GCP Data Engineer

Our Future Colleague WillContribute to multi-year data analytics modernization roadmap for the bank. You will directly work on the platform based on Google Big Query and other GCP services to integrate new data sources and model the data up to the serving layer.Contribute to this unique opportunity as the program is set up to completely rethink reporting and analytics with Cloud technology. Collaborate with different business groups and users to understand their business requirements and design and deliver GCP architecture and Data Engineering scope of work.You will work on a large-scale data transformation program with the goal to establish a scalable, efficient, and future-proof data & analytics platform. Develop and implement cloud strategies, best practices, and standards to ensure efficient and effective cloud utilization.Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP. Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP. Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.QualificationsWhat will help you succeed:Bachelors University degree in computer science/ITMasters in Data Analytics/Information Technology/Management Information System (preferred)Strong understanding of data fundamentals, knowledge of data engineering, and familiarity with core cloud conceptsMust have good implementation experience on various GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, Cloud Spanner, Cloud SQLMust have programmatic experience in SQL, Python, Apache SparkAt least 5 - 7 years of professional experience in building data engineering capabilities for various analytics portfolios with at least 5 years in GCP/Cloud based platform.Your expertise in one or more of the following areas is highly valued: Google Cloud Platform, ideally with Google BigQuery, Cloud Composer, and Cloud Data Fusion, Cloud Spanner, Cloud SQLExperience with legacy data warehouses (on SQL Server or any Relational Data warehouse platform)Experience with a testing frameworkExperience with Business Intelligence tools like PowerBI and/or LookerWhat Sets You ApartExperience in complex migrations from legacy data warehousing solutions or on-prem data lakes to GCPExperience with building generic, reusable capabilities and understanding of data governance and quality frameworksExperience in building real-time ingestion and processing frameworks on GCP.Adaptability to learn new technologies and products as the job demands.Multi-cloud & hybrid cloud experienceAny cloud certification (Preference to GCP Certifications)Experience working with Financial and Banking IndustryPrimary SkillsGCP Data Engineering (BigQuery, Dataflow, etc)Education:

Bachelors DegreeCertification:

Google Cloud Certification

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