What are the responsibilities and job description for the Google Cloud Platform Data Engineer position at Think Big Solutions, Inc?
Job Details
Position: Google Cloud Platform Data Engineer
Primary Location: Atlanta, GA (ONSITE)
Employment Type: Full Time with Client
MUST HAVE Google Cloud Platform CERTIFICATION
About the Senior Data Engineer Position
As a Senior Data Engineer will have the opportunity to design and execute vital projects such as re-platforming our data services on Cloud and on-prem and delivering real-time streaming capabilities to our business applications. This position will bring a clear point of view on data processing optimization, data modeling, data pipeline architecture, data SLA management. The Senior Data Engineer holds accountability for the quality, usability, and performance of the solutions. Our mission is design & implement a data and analytics platform/infrastructure that enables a future-state analytics lifecycle, data monetization opportunities, data acquisition, analysis & feature engineering, model training, impact analysis, reporting, predictive and quantitative analysis, & monitoring.
What You Get to Do:
- Partner with the functional areas to determine how to manage and enhance our data assets to drive more value for the organization, including identifying key data sets for governance, collecting of new data to create new business opportunities, and the design of an enterprise data layer.
- Lead design sessions and code reviews to elevate the quality of engineering across the organization.
- Manage the data collection process providing interpretation and recommendations to management.
- ETL pipeline builds and scalable solutions.
- Multi-level Data Curation and modeling.
- Services based design.
- Data design and architecture.
- Provides analytical and data-driven decision-making support for key projects.
- Designs, manages, and conducts quality control.
- Increase the efficiency and speed of complicated data processing systems.
- Collaborate across all functional areas to translate complex business problems into optimal data modeling and analytical solutions that drive business value.
- Lead the improvements and advancement of reporting and data capabilities across the company, including analytics skills, data literacy, visualization, and storytelling.
- Collaborating with our Architecture group, recommend and ensure the optimal data architecture.
What You Bring to the Table:
- Bachelor s degree in Computer Science, Engineering, Mathematics, Sciences, or related field of study from an accredited college or university; will consider a combination of experience and/or education.
- Ideally 8 years of experience in developing data and analytics solutions and approximately 4 years data modeling and architecture.
- Experience working with Google Cloud Platform (Google Cloud Platform)
- Highly skilled on RDMS (Oracle, SQL server, MySQL) and NoSQL Database systems.
- Highly skilled on data platform tools and techniques e.g.: snowflake and/or databricks.
- Strong understanding of data quality, compliance, governance, and security.
- Strong understanding of statistical techniques.
- Understanding of data modeling and data engineering, including SQL and/or Python
- Advanced technology skills with deep knowledge in data segmentation and analytics platform usage.
- Commitment to consistently adhere to policies and procedures and be a positive example for others by demonstrating the Company s core values of Respect, Accountability, Innovation, Safety, and Excellence in completing work assignments.
- Self-motivated, have phenomenal work ethic and looking for the right company to support your growth.
Got Extra to Bring?
- Master s degree in Business, Computer Science, Engineering, Mathematics, Sciences, or related field of study from an accredited college or university.
- Ideally 4 years in the Energy Sector.
