What are the responsibilities and job description for the Contract Data Engineer position at Simmons Bank?
It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
This is a contractor role and not a full-time employee role, and we anticipate an engagement of one (1) year in length. You would be considered self-employed, and we would not be able to offer any health care benefits, paid time off, or retirement benefits. Also, we will not be able to offer remote or hybrid working. We will need you be in either one of our Dallas offices or in our Little Rock office. If this interests you, please consider applying.
If you are a Google Cloud data engineer, SimmonsBank 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.
Senior Data Engineering Google Cloud Platform (GCP) is responsible to develop and deliver effective cloud solutions for different business units. This position requires in-depth knowledge and expertise 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
What will help you succeed:
We're committed to bringing passion and customer focus to the business.
This is a contractor role and not a full-time employee role, and we anticipate an engagement of one (1) year in length. You would be considered self-employed, and we would not be able to offer any health care benefits, paid time off, or retirement benefits. Also, we will not be able to offer remote or hybrid working. We will need you be in either one of our Dallas offices or in our Little Rock office. If this interests you, please consider applying.
If you are a Google Cloud data engineer, SimmonsBank 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.
Senior Data Engineering Google Cloud Platform (GCP) is responsible to develop and deliver effective cloud solutions for different business units. This position requires in-depth knowledge and expertise 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 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.
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.
- 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
- Experience in complex migrations from legacy data warehousing solutions or on-prem datalakes to GCP
- Experience with building generic, re-usable capabilities and understanding of data governance and quality frameworks
- Experience 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 experience
- Any cloud certification (Preference to GCP Certifications)
- Experience working with Financial and Banking Industry
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