Job Summary:

The Data Engineer II performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line in RX Global.

The successful candidate will create data architectures, such as databases and large-scale processing systems that are used by our business to monitor, understand, and gain data science-led insights into our global events.  The Data Engineer II works as part of a highly motivated, collaborative, enthusiastic, distributed, cross-functional team, using a modern tech stack and agile & develops principles to create data architectures that are of high quality and can be deployed to and used in production with confidence - safely and reliably.

Accountabilities:

• Design and develop data pipelines and ETL jobs on AWS Cloud platform based on functional/non-functional business requirements

• Design & implement Data Integration/Ingestion/Extraction solutions based on high level architecture design

• Identify, design, and implement process improvements & delivery optimizations

• Collaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutions

• Develop data lake solutions leveraging new or existing technology to advance the company's business

• Design, upgrade and implement new data workflows, automation, tools and API integrations

• Write and maintain technical documentation

• Perform unit tests and system integration tests

• Work with the team using Agile methodology

Job Specifications :

• Bachelor’s Degree holder (Engineering/Computer Science preferred but not required)

• Experience dealing with various stakeholders in a global perspective

• 2-4 years’ experience as a Data Engineer (or related positions) with focus on data processing and/or relational databases

• Experienced with relational databases like MS SQL Server

• Experienced in the following programming/scripting languages:  SQL, Python. 

• Experienced with AWS Cloud

• Experienced with working on Structured, Semi-Structured, Unstructured datasets

• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results

• Proven stakeholder management

• Proven time and project management skills, experience in Agile Methodology is desired

• Good communication and presentation skills

• Analytical, structured, organized, and proactive

• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

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