Description:
Our client has an immediate opening for an experienced Data Engineer to join their team.
In your new role as a Data Engineer, you will be involved in projects and work with the team to achieve high quality data integrations and responsible for design and development of scalable data solutions.
This is your chance to contribute to the ongoing Data Platform enhancements to support strategic business initiatives.
A typical day would involve:
- Design and build efficient & reliable data pipelines, cleanse, and normalize diverse datasets for Analytics.
- Troubleshoot and resolve problems of data services that support business & applications systems and provide solutions to pro-actively prevent problems from happening.
- Create and manage knowledgebase, access controls, deployment pipeline architecture and infrastructure related to Data Platform.
- Help drive transformation by continuously looking for ways to automate existing processes and optimize for efficiency and data quality, redesigning infrastructure for greater scalability, etc
- Represent team as a subject matter expert for strategic projects and contribute to end-to-end data architecture solutions.
You are:
- Customer-centric: You define and measure success through the eyes of your internal customers and anticipate, understand and respond to their evolving needs. Demonstrate strong follow through and consistently keep commitments to members and team.
- Results-oriented: You have a demonstrated ability to engage stakeholders to elicit requirements, analyze findings, generate appropriate solutions, and build deliverables all while securing the team's commitment to these solutions.
- Technology savvy: You have education and/or experience supporting technology development/implementation efforts.
- Curious & innovative: You always do your research and analysis to assess and recommend a course of action based on industry, political and economic trends, you can identify risks and opportunities that may impact the business unit and or designated area.
You have:
- Bachelor's Degree in Computer Science or a related technical discipline.
- 3+ years of industry experience in Data Engineering or related field handling data processing and transformation of disparate datasets
- Experience with big data and analytics programming languages such as Python, R, Spark in Databricks
- Experience with batch and real-time processing frameworks (EventHub, Apache Spark, Apache Kafka, etc.)
- Willingness to work in a highly flexible environment with multiple competing priorities.
- Proven ability to innovate and adapt to the latest development in area of expertise. Ability to adapt and grasp new skills and content.