google data engineer.
pine bluff , arkansas
posted today
job detailssummary
$55 - $65 per hour
contract
bachelor degree
category computer and mathematical occupations
reference1070708
job detailsjob summary: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.
QualificationsWhat 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
location: Pine Bluff, Arkansasjob type: Contractsalary: $55 - 65 per hourwork hours: 8am to 4pmeducation: Bachelorsresponsibilities:1.Atleast 3-5 years, working in Data Engineering Projects
Knowledge and experience on MSSQL, Python and MSBI Tech stack(SSIS, SSMS,SQL etc)
Experience of working on projects with strong understanding of development delivery lifecycle.
4.Experience working with Google Big Query5.Experience of working in AI Product building (AI Fundamentals)qualifications:
Experience level: Experienced
Minimum 5 years of experience
Education: Bachelors
skills:
Google Cloud Platform (GCP) (4 years of experience is required)
Data Analysis
BigQuery
SQL
PythonEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected] offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.