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Role:                    Google Cloud Data Engineer

Location:            Little Rock, AR OR Dallas, TX (Hybrid) Local Preferred but okay with relocation.

Duration : 12 Month Contract

Visa:                    USC OR GC only.

Client :                Simmons Bank

Anyone with prior Banking/Finance experience will be preferred.

Our Future Colleague Will
 

• Contribute to multi year 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.
• 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.
• Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.
   

Qualifications

What will help you succeed:

• Bachelors University degree computer science/IT
• Masters 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 BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL
• Must have programmatic experience of SQL, Python, Apache Spark
• Atleast 7-8 years of professional experience in building data engineering capabilities for various analytics portfolio with atleast 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 SQL
• Experience with legacy data warehouses (on SQL Server or any Relational Datawarehouse platform)
• Experience with our main tools dbt, terraform/terragrunt, Git (CI/CD)
• Experience with a testing framework
• Experience with Business Intelligence tools like PowerBI and/or Looker

Thanks & Regards

Ambika

E-mail 📩[email protected]

Mob:- 512-866-4478

5900 Belcones drive

Suit #100, Austin, TX , 78731