AWS Data Engineer DFW

TYMON GLOBAL INC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Amazon Web Services (AWS)
Business Analytics Applications
Cloud Computing
Continuous Integration
Information Engineering
ETL
Data Warehousing
Distributed Systems
Python
Performance Tuning
Scrum
Software Deployment
Data Processing
GIT
Data Lake
PySpark
Data Analytics
Amazon Web Services (AWS)
Real Time Data
Kafka
Data Pipelines
Redshift
Databricks

Job description

  • Work with Amazon Redshift for data warehousing and analytics solutions.
  • Implement batch and real-time data ingestion using Apache Kafka.
  • Design and maintain data models, data lakes, and enterprise data warehouses.
  • Ensure data quality, security, governance, and performance optimization.
  • Collaborate with business stakeholders, data analysts, and development teams to deliver data-driven solutions.
  • Utilize Git for version control and CI/CD processes.
  • Troubleshoot and resolve issues related to data pipelines and cloud infrastructure.
  • Participate in Agile/Scrum ceremonies and support production deployments.
  • Strong understanding of cloud computing, distributed systems, and modern data engineering practices.
  • Excellent communication, analytical, and problem-solving skills.

Requirements

We are seeking an experienced AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong experience with AWS services, Databricks, PySpark, Python, Redshift, Kafka, and ETL processes., * 5+ years of experience in Data Engineering and Data Warehousing.

  • Design, develop, and maintain scalable ETL/ELT pipelines on AWS.
  • Build and optimize data processing solutions using Python, PySpark, and Databricks.

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