Data Engineer

Descripción del trabajo

EDUCATION and EXPERIENCE:

Bachelor’s Degree in Computer Science, Information Technology, Systems Analysis or a related study.
Minimum of three years of experience working with high volume data infrastructure with exposure to database design/structures, ETL/ELT design patterns, and datamart structures (star, snowflake schemas, etc.)
Minimum of three years of experience with full cycle application development (Full SDLC experience: design, development, delivery, etc.)
Minimum of one year of experience implementing modern applications using Cloud Based Solutions/Technologies (AWS Redshift, S3, Google BigQuery, Azure Data Bricks, Synapse)
Experience w/Data Lake concepts and design patterns (AWS S3, parquet, python, lambda, java, NoSQ (Preferred)
BI Technologies (such as Tableau, Jasper, Cognos, Qlik, Looker, and others) preferred.
Exposure to Spark Streaming and Machine Learning preferred.
Exposure to Graph Databases preferred.
Deploy sophisticated analytics programs, machine learning and statistical methods
Prepare data for predictive and prescriptive modeling
Experience with DevOps process (exposure to GitHub, Jenkins or other CI/CD tools)
Implementation of modern application and infrastructure design patterns, including micro-services and containers, disposable, reactive, stateless and distributed patterns

Refer code: 1051396. Prodensa - El día anterior - 2024-03-16 21:48