AWS Data Engineer (Senior)

6 months, 1 week ago
Full-time
Senior
Data Science and Analytics
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

Description

  • Develop and maintain data pipelines using Amazon EMR and/or AWS Glue.
  • Author and maintain ETL/ELT code in PySpark and SQL to extract, transform, and load data.
  • Design and implement data models and support end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto.
  • Build, maintain, and operate pipeline orchestration using Airflow.
  • Collaborate with cross-functional teams to gather data requirements and design solutions that meet business needs.
  • Troubleshoot, optimize, and improve performance of data pipelines and data models.
  • Document technical designs and communicate solutions clearly to technical and non-technical stakeholders.
  • Research and evaluate new AWS data technologies and recommend improvements to existing systems.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of hands-on experience with PySpark and SQL.
  • 2+ years of experience building and maintaining data pipelines using Amazon EMR or AWS Glue.
  • 2+ years of experience with data modeling and supporting end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
  • 1+ years of experience building and maintaining pipeline orchestration using Airflow.
  • Strong problem-solving and troubleshooting skills with the ability to work independently and in a team.
  • Excellent communication and collaboration skills for interacting with stakeholders.
  • Preferred: AWS Data Analytics Specialty certification and experience with Agile development methodology.

Benefits

  • Remote work (position listed as full-time remote).
  • Company culture guided by 10 Core Leadership Principles emphasizing leadership, collaboration, ownership, curiosity, and delivering value.
  • Equal opportunity employer with nondiscriminatory hiring and employment practices.
  • Structured hiring process including pre-employment technical assessments, managerial interviews, and HR discussion.

Interested in this position?

Apply directly on the company website

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