Looking for a GCP Data Engineer to join this financial services giant! Generous rate and prospects
- GLOBAL FINANCIAL SERVICES GIANT implementing cutting edge GOOGLE CLOUD solution
- GOOGLE CLOUD (GCP) ENGINEER required to lead design & development best practice
- LONG TERM ENGAGEMENT & ATTRACTIVE MARKET RATES - $1000 a day
We are looking to hire a seasoned Solution (GCP/Cloud) Data Engineer / Developer to drive and champion a best practice design and data pipeline architecture. This is a really exciting roll for a data engineer to join a major multinational business with huge prospects
As the Google Cloud (GCP) Engineer, you will be a champion of technical innovation and change, acting as a technical escalation point for Cloud related issues. You'll also be involved in the following:
As the Google Cloud (GCP) Engineer, you will be a champion of technical innovation and change, acting as a technical escalation point for Cloud related issues. You'll also be involved in the following:
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets as per business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and GCP big data’ technologies.
- Act as a technical lead in the design, development and implementation of Google Cloud (GCP) solutions.
- Drive deployment and increase the consumption of solutions related to cloud data and analytics services, including SQL Database, NoSQL databases, SQL Data Warehouse and Big Data processing
- Define the business case for solutions, design the solution to help prototype and develop the customer’s new environment, and guide the solution through launch to market
- Drive data processing and analytics solutions, including technical feasibility and proposal development for Big Data storage, processing and consumption .
- 7+ years of experience in technology consulting and cloud data engineering experience, MUST have experience in Google Cloud Platform (GCP) stack
- Strong competency in data modelling and data design. This includes logical and physical modelling, partitioning strategies for large tables, and other database optimisations
- Solid experience with Relational Databases, specifically SQL Server and Python, Must be able to write PL/SQL Stored Procedures
- Tableau is an advantage!