AWS Data Engineer (Associate)

4 г. назад

USAMiddleRemote

awsdata engineeringdata products

Full-stack AWS Data Engineer working on data platforms and modernization to build scalable data products for better decision-making.

is the agent-native AWS modernization firm. We ship modernization to production in weeks — data platforms migrated, applications refactored, AI agents running against real data. Our delivery is built on the agent platform built by our team, and executed by forward-deployed engineers who own outcomes end-to-end. Fixed-date commitments. Real production systems. Retired legacy. We are an AWS Premier Tier Services Partner with the AWS Agentic AI Specialization, seven AWS Consulting Competencies (including Migration and Modernization, Data and Analytics, Machine Learning, and AI Services), and seventeen AWS Service Validations. Our named production customers include Synaptics, Flipboard, Poshmark, Tilia, KlearTrust, and Safaricom. Most modernization work doesn't ship. Ours does. That's

Write efficient code in - PySpark, Amazon Glue
Write SQL Queries in - Amazon Athena, Amazon Redshift
Explore new technologies and learn new techniques to solve business problems creatively
Collaborate with many teams - engineering and business, to build better data products and services 
Deliver the projects along with the team collaboratively and manage updates to customers on time

Prior experience in working on AWS EMR,  Apache Airflow
Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
Understanding of DataOps Engineering

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
Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+