Mactores

AWS Data Engineer, Associate

Mactores

full-time

Posted on:

Origin:  • 🇺🇸 United States • Washington

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Job Level

JuniorMid-Level

Tech Stack

AirflowAmazon RedshiftApacheAWSETLPySparkSparkSQL

About the role

  • Work as a full-stack AWS Data Engineer solving business problems and building data products
  • Collaborate with business leads, analysts, and data scientists to understand business domain
  • Write efficient code in PySpark and Amazon Glue and build ETL jobs
  • Write and optimize SQL queries in Amazon Athena and Amazon Redshift
  • Explore new technologies and learn techniques to solve business problems
  • Collaborate with engineering and business teams to build data products and services
  • Deliver projects collaboratively and manage timely updates to customers
  • Ensure data quality of business metrics and build scalable, flexible solutions

Requirements

  • 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
  • 2+ years of experience in writing ETL jobs using pySpark and SparkSQL
  • 2+ years of experience in SQL queries and stored procedures
  • Deep understanding of Dataframe API and Spark 2.7+ transformation functions
  • Experience writing SQL in Amazon Athena and Amazon Redshift
  • Experience with PySpark and Amazon Glue
  • Preferred: prior experience with AWS EMR and Apache Airflow
  • Preferred: Certifications - AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
  • Understanding of DataOps Engineering
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