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 automateddatapipelines.

Implement best practices in management ofdata, includingdataprocessing,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-hocdataquerying and analysis.

Qualifications:

3-5 years of experience in Python anddata-focused packages, e.g., Pandas, Numpy; interacting with JSON, XML, CSV, TSV formatteddata

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.

Must have skills required :

Bitbucket/GIT, DBT, Numpy, Pandas, Snowflake, JSON, Python, SQL, XML

Good to have skills :

financial domain, Linux