Cloud Data Engineer  

Abilities

• Ability to work autonomously and as part of a team
• Good time management and organizational skills; ability to complete multiple reports for multiple projects on time and in scope
• Strong communication and customer service skills
• Ability to move from one task to another with ease

• Demonstrated skills in Data modelling techniques in RDBMS and NOSQL
• Demonstrated Proficiency with RDBMS (SQL and Stored Procedures) and NOSQL
• Strong software engineering skills using Python 3 (especially on data processing, memory management, reading and writing data with streams, file compression management (zip, tar, gzip, etc.) in stream, etc.)
• Strong Business Intelligence including
• Business Intelligence/Data Visualization Dashboards and Reports
• Business Intelligence/Data Visualization Development
• For Cloud Data Engineer: Good level knowledge on AWS Services: S3, Lambda, SQS, Glue, Athena, Redshift, EMR, AWS batch, AWS step functions, etc.
• 5+ years experience in a data-related field, including data engineering, data warehousing, business intelligence, data visualization, and/or data science using any of the following technologies and platforms:
• ETL skills/experience in any of these tools (Talend Open Studio, Microsoft SSIS, Informatica, IBM Datastage, Oracle Data Integrator, Pentaho Data Integrator)
• Skills/experience in any of the following Business Intelligence/Data Visualization tools/platforms (PowerBI, Tableau, Qlick, Crystal Reports, Pentaho, Jasper, Informatica, Microsoft SSRS, etc)
• Teraform scripting and devops skills (Build/Run)
• Knowledgeable in Analytics and Machine Learning concepts is a plus
• Experience with other programming languages is a strong plus
• Familiarity and experience with big data technologies (eg: Hive, Spark (PySpark), Presto) is a plus