CLOUD DATA ENGINEERDemonstrated 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 (Power BI, Tableau, Qlick, Crystal Reports, Pentaho, Jasper, Informatica, Microsoft SSRS, etc.). Terraform scripting and Dev Ops 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 (Py Spark), 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.
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