AWS Data Engineer

Overview

Hybrid
$110,000 - $135,000
Full Time

Skills

AWS
Data Engineer
Lambda
Python
PySpark
SQL
Amazon Web Services
ELT
Reporting
Snow Flake Schema
Snowflake
Data Modeling
Extract
Transform
Load

Job Details

Role: AWS Data Engineer

Location: Hybrid (3 days to local office - New Orleans, LA; Little Rock, AR; or The Woodlands, TX)

 

We are seeking a skilled AWS Data Engineer who has experience working with Python, PySpark, lambda, Airflow, and Snowflake.
Responsibilities:

  • Design, build, and optimize ETLs using Python, PySpark, lambda, Airflow and other AWS services.
  • Create SQL queries to segment, manipulate, and formatdata.
  • Build automations to ingest, transfer, move, upload, and manipulatedata.
  • Build or maintain data ingestion pipelines that move data from source systems into Snowflake.
  • Create and manage data models to ensure data integrity and facilitate efficient data analysis.
  • Implement and maintain data security and compliance measures, including access controls, encryption, and data masking.
  • Ensure data quality, accuracy, and consistency through data validation, cleansing, and monitoring.
  • Design and maintain ETL/ELT pipelines to ingest data into Amazon Redshift for analytics and reporting.

Requirements:

  • Minimum 5 years of experience as Data Engineer.
  • 3+ years of Python, PySpark, and Lambda.
  • Must have experience with Airflow and Snowflake.
  • Advanced SQL query development proficiency
  • Understanding of data modelling principles and techniques.
  • Knowledge of data security best practices and compliance requirements.
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