AWS Data Engineer

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Role: AWS Data Engineer

Location: Houston, TX (3 days/week onsite)

We are seeking a skilled AWS Data Engineer who has experience working with Python, SQL, Glue, and Airflow.

Responsibilities:

• Design, build, and optimize ETLs using Python, SQL, Glue, Airflow, and other AWS services.
• Develop and maintain ETL workflows using Python, SQL, and AWS-native tools.
• Create SQL queries to segment, manipulate, and formatdata.
• Provide Run/DevOps support for data services, ensuring high availability and performance.
• Implement batch job scheduling and manage data dependencies using tools like Airflow or Step Functions.
• Maintain documentation for data flows, incident resolution, and operational procedures.
• Participate in on-call rotations and incident response for production systems.
• Build automations to ingest, transfer, move, upload, and manipulatedata.
• Build or maintain data ingestion pipelines that move data from source systems into Data Lake.
• 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.
  
  

Requirements:

• 5 years of experience in data engineering.
• Strong proficiency in AWS services: S3, Glue, DMS.
• Solid programming skills in Python and SQL.
• Must have experience with Airflow.
• Advanced SQL query development proficiency
• Understanding of data modelling principles and techniques.
• Knowledge of data security best practices and compliance requirements.