Offer summary
Qualifications:
At least 5 years as a Senior Big Data Engineer or 3 years using Spark, Strong expertise in Spark, Datalake, and Big Data storage, Familiarity with SQL and ADF is a plus, Fluency in English.Key responsabilities:
- Lead the development of data solutions with Spark and storage in Parquet and Delta lake, Define global guidelines for Big Data practices, Advise team members and develop complex pipelines, Provide expertise for fixing operational issues involving Spark code