qode.world

Data Engineer, AWS

qode.world

full-time

Posted on:

Origin:  • 🇺🇸 United States • South Carolina

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloudPostgresPySparkPythonSparkSQL

About the role

  • AWS Data Engineer (Spark, AWS, Glue)
  • Location : Fort Mill SC (Hybrid)

Requirements

  • - Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities
  • - Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets
  • - Build robust data pipelines on the Cloud using AWS Glue, Aurora Postgres, EKS, Redshift, PySpark, Lambda, and Snowflake.
  • - Build Rest-based Data API using Python and Lambda.
  • - Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.
  • - Work with data and analytics experts to strive for greater functionality in our data systems.
  • - Implement architectures to handle large-scale data and its organization
  • - Execute strategies that inform data design and architecture partnering with enterprise standard
  • - Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement\
  • Minimum 10 years for experience in data engineering.