CLOUD DATA ENGINEER
Demonstrated skills in Data modeling techniques in RDBMS and NOSQL
Demonstrated Proficiency with RDBMS (SQL and Stored Procedures) and NOSQL
Strong software engineering skills using Python 3 (especially in data processing, memory management, reading and writing data with streams, file compression management (zip, tar, gzip, etc.) in the 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 of 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)
Terraform 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
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