Python Data Operations Engineer

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.