
Python Data Operations Engineer
3 weeks ago
Responsibilities:
- Help move products through the development lifecycle from proofs of concept all the way to final, production-ready products Engineer, build and maintain scalable automated datapipelines.
- Implement best practices in management of data, including data processing,dataquality and lineage.
- Managing code repositories, code deployments using GIT
- Automate, maintain and manage system, to ensure the availability, performance, scalability of product.
- Support regular and ad-hoc data querying and analysis.
Qualifications:
- 3-5 years of experience in Python and data-focused packages, e.g., Pandas, Numpy; interacting with JSON, XML, CSV, TSV formatted data
- 3-5 years of experience with snowflake, SQL.
- 2-3 years of experience with DBT
- 2-3 years of experience with version control like git, bitbucket, and Linux environment
- Good to have knowledge of the financial domain.
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