Data Engineer 100% Remote

Data Engineer 100% Remote

Qualifications:

Qualifications:

**This position will be fully remote until they move into the new building (501 W. Church St. Orlando, FL 32801) , at which time they will switch to a hybrid schedule: Monday, Tuesday, Wednesday in office, Thursday and Friday WFH**

Required

• Master's degree in computer and information science required
• Snowflake and Python certification preferred but not required
• Excellent listening, interpersonal, communication (written & verbal) and problem-solving skills.
• Ability to collect and compile relevant data
• Extremely organized with great attention to detail
• Excellent ability to analyze information and think systematically
• Strong business analysis skills
• A strong team player with some ability to work independently
• Good understanding of the company's business processes and the industry at large
• Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines and data sets leveraging various scripting languages or ETL tools.
• Ability to perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement.
• Good analytic skills related to working with unstructured datasets.
• Ability to build and use APIs to push and pull data from various data systems and platforms.
• Build processes supporting data extraction, transformation, and loading of data into data structures.
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.
• Ability to build data models and manage data warehouses
• 3 years of related data engineering/IT experience
• 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python and AWS architecture.
• 1+ years of proven experience in Microsoft .Net technologies such as C#, VB.Net and experience in designing, developing and deploying Windows & Web applications
• 2+ years of experience in data modeling/database development using PL/SQL and SQL Server 2016 or later and Snowflake
• 1+ years of proven experience building data pipelines and ETL flows in Cloud and on-premise environments using Snowpipe, Informatica, Airflow, Kafka etc.

• Experience equivalent to the education requirement may be accepted in lieu of the education requirement.