Senior Data Engineer
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Job Description
Senior Data Engineer designing data pipelines and processing for a remote workforce in innovative digital experiences. Collaborating with global teams to deliver high-quality solutions.
Responsibilities:
- Design and build clean data wherehouse and data processing.
- Participate in the entire development process, from designing small components to independently completing user stories.
- Lead and contribute to requirement analysis, planning, design, development and testing.
- Break down complex problems into manageable tasks and contribute to well-architected solutions.
- Collaborate with peers and seniors within your team and across the organization.
- Work with product managers using agile methodologies to deliver high-quality solutions on time.
- Partner with operations teams to ensure applications and services are highly available and reliable.
- Understand and address engineering-related concerns such as performance, network utilization, and resource impact.
Requirements:
- Profile with experience in data pipelines with large volumes of data.
- Proficient in one or more of the following languages: Python, Ruby on Rails, Scala or similar.
- Experience with AWS, over ECS, EKS and AWS lambdas.
- Knowledge on Medallion (Bronze / Silver / Gold) data architecture Airflow, Dagster or similar.
- Nice to have: Machine Learning.
- Experience with Terraform as IaC.
- Experience with Airflow and DBT.
Benefits:
- Career Path Planning – You can create a career path based on your goals.
- We provide training, mentoring, and support to help you along the way.
- Training & Mentorship – Learning and Development is a big part of our company culture.
- You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program.
- Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart.
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