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AWS Data Engineer (Senior)

5 months, 4 weeks ago
United States
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Presto Snowflake SQL
Apply Now
Mactores

Mactores

Mactores provides data analytics solutions and services that empower businesses to enhance their operational efficiency and value through automation and advanced technologies such as AI, Big Data, and cloud computing.

IT Services
51-250
Founded 2003
View All Jobs 33

Description

  • Develop and maintain data pipelines using Amazon EMR or Amazon Glue.
  • Create data models and support end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
  • Build and maintain data pipeline orchestration using Airflow.
  • Write and maintain PySpark and SQL scripts to extract, transform, and load data.
  • Collaborate with cross-functional teams to understand data needs and design solutions.
  • Troubleshoot and optimize data pipelines and data models.
  • Document technical solutions and communicate them to technical and non-technical audiences.
  • Stay current on new AWS data technologies and evaluate their impact on existing systems.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience working with PySpark and SQL.
  • 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.
  • 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
  • 1+ years of experience building and maintaining orchestration of data pipelines using Airflow.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and within a team environment.
  • AWS Data Analytics Specialty Certification preferred.
  • Experience with Agile development methodology preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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