Data Engineer

Data Engineer

Location: Dallas, TX (3 days onsite/week) Duration: Contract Interview Mode: In person Interview. Must Have:

• 5+ years of experience in data engineering
• Python
• SQL
• Data Warehouse
• 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) is preferred but open to experience with Azure or AWS as well

Experience with migration projects is ideal

• Experience working with Financial and Banking Industry is nice to have

Client's Job 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. Our future colleague will:

• Contribute to multiyear data analytics modernization roadmap for the bank.
• 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.
• 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.
• Stay up to date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.