Data Engineer

Job description:

• Support Data Scientists in ML projects with respect to Data Preparation, Data Mining and during Exploratory Data Analysis.
• Support Business Intelligence Developers in building Descriptive analytical reports.
• Create and manage ETL pipelines and job schedulers.
• Handle unstructured data and work with application teams to automate data ingestion and validation.

 Requirements:

• Strong experience in relational databases and SQL queries and familiarity with noSQL databases.
• Working experience in at least one of these databases: MS SQL, mySQL, PostGreSQL.
• Working experience in AWS Redshift database would be ideal and basic cloud infrastructure knowledge.
• Experience in Python is required, and R language is preferable.
• Basic configuration and troubleshooting in Linux OS environment.
• 3-4 years of experience as Data Engineer.

Key Skills:

• Learning.
• SQL.
• Data warehouse.
• Cloud computing.
• Data science.
• ETL.
• Data visualization.
• Programming.
• Database management.