GCP Data Engineer

Skills

• 5+ years of experience in data engineering • Python • SQL • Experience with development operation support and data lifecycle (end-to-end from requirement intake to production lifecycle) • Hands-on experience with Google Cloud Platform (GCP): o GCP’s Data Storage and Processing services such as BigQuery Dataflow Bigtable Dataform Data fusion Spanner / Cloud Spanner Cloud SQL Cloud Composer o Experience with migration projects is a plus • Experience working with Financial and Banking Industry is a plus

Description

If you are a Google Cloud data engineer, our client invites you to collaborate in an agile team of peers developing cloud-based analytics platform integrating data from broad amount of systems to enable next-gen analytical products.
Data Engineering Google Cloud Platform (GCP) Engineer is responsible to develop and deliver effective cloud solutions for different business units. This position requires knowledge and experience in GCP services, architecture, and best practices. They will collaborate with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions. This position will also be responsible for driving innovation and staying up to date with the latest GCP technologies and trends to provide industry-leading solutions.
5+ years of experience in data engineering • Python • SQL • Experience with development, operation support and data lifecycle (end-to-end from requirement intake to production lifecycle) • Hands-on experience with Google Cloud Platform (GCP): o GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, Spanner / Cloud Spanner, Cloud SQL, Cloud Composer o Experience with migration projects is ideal • Experience working with Financial and Banking Industry is ideal

Responsibilities

• You will directly work on the platform based on Google BigQuery and other GCP services to integrate new data sources and model the data up to the serving layer.
• Contribute to this is unique opportunity as the program is set-up to completely rethink reporting and analytics with Cloud technology.
• Collaborate with different business groups, users to understand their business requirements and design and deliver GCP architecture, 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.
• Contribute to multiyear data analytics modernization roadmap for the bank.
• Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.

Educational Requirements

• Bachelors University degree computer science/IT
• Master’s in data Analytics/Information Technology/Management Information System (preferred)
• Strong understanding of data fundamentals, knowledge of data engineering and familiarity with core cloud concepts
• Must have good implementation experience on various GCP’s Data Storage and Processing services such as Big Query, Dataflow, Bigtable, Data form, Data fusion, cloud spanner, Cloud SQL
• Must have programmatic experience of SQL, Python, Apache Spark
• At least 3-5 years of professional experience in building data engineering capabilities for various analytics portfolios with at least 2 years in GCP/Cloud based platform.