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SeniorFull-timePythonJavaKubernetesDockerAgileGit
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Join our Value Added Services – Digital Marketing & Engagement organization as a Data Engineer. You will design, enhance, and build data infrastructure and pipelines in an agile environment, collaborating with supportive and challenging colleagues.
Key Responsibilities
- →Design, develop, and maintain robust and scalable data pipelines and ETL processes
- →Ensure data services are highly available, secure, scalable, and resilient
- →Drive innovation to differentiate data products and accelerate time-to-market delivery
- →Utilize containerization technologies like Docker and Kubernetes, and expertise in Java, Python, and both relational and non-relational databases
- →Apply data engineering skills with Hadoop, Spark, and Scala
- →Represent the team in technical forums and build partnerships with product management
- →Analyze business requirements to architect secure, robust, and scalable data solutions
- →Lead internal proof of concept initiatives and design prototypes
- →Champion efforts to design and implement components of global data processing systems
- →Follow and create software best practices and processes
- →Mentor team members and create an atmosphere of mutual accountability
- →Play a key role in meetings with cross-functional and non-technical teams
Requirements
- ✓Collaborate with customers to understand requirements and build solutions that deliver real value
- ✓Architect, design, and implement secure, robust, and scalable data solutions
- ✓Drive proof of concept initiatives and lead implementation
- ✓Mentor team members and foster a culture of mutual accountability
- ✓Engage in meetings and discussions with cross-functional teams
- ✓Work in a hybrid environment, alternating between remote and office work
- ✓This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
