Position: Data Engineer
Company: GlobalLogic
Category: Python
Experience required: 5y
English level: upper

Client's Enterprise Data team is a newly established central organization that oversees client's data strategy. We are seeking data professionals to work with our colleagues around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey! 
We are looking for a Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

**Job Description**
Bachelor's degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 
4+ years of experience as a data developer using Python, Spark Streaming, SQL etc. 
Excellent technical, analytical and organizational skills.  
Understanding technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc
Hands-on Experience for building Data Pipelines in Cloud.  Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.
Experience handling unstructured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues
Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
Someone who is genuinely excited about data infrastructure and operations with a familiarity working in cloud environments and Working with data excites you: you have created data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems
 
**Job Responsibilities**
Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture
Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
Functionally lead team of data engineers to deliver data solutions in Agile manner while mentoring junior-level data engineers