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1 week ago
A Data Engineer is needed to build a robust data platform. The successful candidate will design, develop, and maintain accurate, secure, available, and fast data pipelines.
Key Responsibilities- Design efficient data pipelines to process large amounts of data.
- Integrate diverse data sources, including databases, APIs, SaaS, files, logs, and events.
- Create standardized datasets to support various use cases.
- Partner with product and engineering teams to ensure product changes integrate well with the data platform.
- Collaborate with stakeholders to understand their challenges and provide 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.
- Experience with Data Warehouse technologies (e.g., Snowflake, AWS Redshift).
- Experience with AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.).
- Proficiency in SQL and at least one major programming language like Python or Java.
- Familiarity with Pandas, Numpy, Scikit-learn, Jupyter notebooks, Git, GitHub, and JIRA.
This role requires a detail-oriented individual who can simplify tasks and build reusable components. Experience in the fintech industry is preferred.
What You'll Bring- Strong problem-solving skills.
- Ability to work independently and prioritize tasks.
- Familiarity with agile methodologies.
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