Description:

Mactores is a leader in providing modern data platform solutions since 2008, focusing on enabling businesses to accelerate their value through automation.
As an AWS Data Engineer, you will be a full-stack data engineer who enjoys solving business problems.
You will collaborate with business leads, analysts, and data scientists to understand the business domain and work with fellow engineers to build data products that enhance decision-making.
You will ensure the quality of business metrics and create flexible solutions that can scale to address broader business questions.
Responsibilities include writing efficient code in PySpark and Amazon Glue, writing SQL queries in Amazon Athena and Amazon Redshift, exploring new technologies, collaborating with various teams, and delivering projects on time.

Requirements:

You should have 1 to 3 years of experience in Apache Spark, PySpark, and Amazon Glue.
A minimum of 2 years of experience in writing ETL jobs using PySpark and SparkSQL is required.
You must have at least 2 years of experience in writing SQL queries and stored procedures.
A deep understanding of the Dataframe API and all transformation functions supported by Spark 2.7+ is essential.

Mactores promotes a casual and fun office environment that encourages productivity and creativity while allowing you to be yourself.
The company values a culture that makes a real difference in the lives of its employees, guided by 10 Core Leadership Principles.
Mactores is committed to providing equal opportunities in all employment practices and does not discriminate based on various protected categories.

Skills