
Data Platform Engineer Position
23 hours ago
We're seeking a skilled Data Platform Engineer to design and maintain our data infrastructure. You'll build scalable data pipelines, integrate multiple data sources, and collaborate with teams to deliver effective data solutions.
- Design and develop a robust data platform that is accurate, secure, available, and fast.
- Engineer efficient, adaptable, and scalable data pipelines to process data from diverse sources.
- Create standardized datasets to support various use cases.
- Develop subject-matter expertise in data systems and processes.
- Partner with product and engineering teams to ensure seamless integration.
- Collaborate with stakeholders to understand their challenges and empower them with data solutions.
- At least 5+ years of experience as a Data Engineer.
- Hands-on experience with Star/Snowflake schema design, data modeling, data pipelining, and MLOps.
- Proficiency in SQL and at least one major programming language like Python or Java.
- Experience with Data Analysis Tools such as Looker or Tableau.
- Familiarity with Git, GitHub, and JIRA.
- Experience in Data Warehouse technologies (e.g. Snowflake, AWS Redshift).
- Experience in AWS data pipelines (Lambda, AWS Glue, Step functions).
- Pandus, Numpy, Scikit-learn, and Jupyter notebooks experience.
This position requires strong analytical and problem-solving skills, with the ability to prioritize tasks effectively. If you're detail-oriented and enjoy simplifying tasks, this role is for you.
The ideal candidate will have a strong understanding of data systems and processes, with excellent communication skills to work with cross-functional teams.
We offer competitive compensation and benefits package, as well as opportunities for professional growth and development.
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