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Data Engineer

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Data Engineer Job Description:

 Data Engineer Responsibilities:

       Design, develop, implement, and maintain code, information architecture, and conceptual models to support data processing, and flows thru data lake

       Work with clients to get the requirements and build codes accordingly

       Translate client business requirements into data requirements

       Communicate the data requirements to other members of the team

       Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.

       Reformulating existing frameworks to optimize their functioning.

       Testing such structures to ensure that they are fit for use.

       Preparing raw data for manipulation by data scientists or for visualization team.

 Data Engineer Requirements:

       Proven experience as a data engineer, software developer, or similar.

       AWS: S3 Data Lake, Athena, Redshift, EMR, Glue, ECS

       Proficiency with Python in a data engineering context. Ex: Pandas, PySpark

       Experience using VCS like Github, Gitlab

       Excellent analytical and problem-solving skills.

       A knack for independence and group work.

       Capacity to successfully manage a pipeline of duties with minimal supervision.

Pay rate is 80-140K, Position is REMOTE.