Data Engineer- API
3 months ago
Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.Position Overview
Position OverviewWe are looking for an exceptional data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data apis, as well as optimizing data flow and collection for cross functional teams. The mission of the team is to empower decision makers and the broader data communities through trusted data assets and scalable self-serve analytics. The focus of work will be engineering new data APIs, Tuning data Apis for efficiency and scalability, implementing best practices and create Automated tests for API performance, result validations.
Qualifications5+ years in the Data Engineer roleData API development experience with efficiency and scalability focus with Python based libraries like Flask/Fast APIExperience with Snowflake and cost optimizations techniquesOverall solid programming skills, able to write modular, maintainable code, preferably Python & SQLHave experience with workflow management solutions like AirflowHave experience on Data transformations tools like DBTBuilt processes supporting data transformation, data structures, metadata, dependency, data quality, and workload managementExperience working with GitStrong analytical, problem solving and interpersonal skillsFamiliar with Scrum
ResponsibilitiesMaintain/develop data APIs efficiency and scalability, implementing best practises and create Automated tests for API performance, result validations with Python based API technologies such as Flask/Fast API with Snowflake as data sourceDesign, implement, test and maintain data pipelines/ new features based on stakeholders with Snowflake, SQL, DBT, Airflow requirementsSnowflake Query performance optimizationsDevelop/maintain scalable, available, quality assured analytical building blocks/datasets by close coordination with data analystsContribute to Analytics engineering process
Preferred QualificationsAPI managementCI/CD (Jenkins)AWS environment, for example S3, Lambda, Glue, Cloud watchExperience working with remote teams spread across multiple time-zonesStrong organizational skills and attention to detail
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