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# AWS Data Engineer (AWS Glue | DMS | CDC | Kafka)

- **Company:** TEQDATA INC.
- **Location:** Farmers Branch, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, CA Workload Automation Ae, Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Migration, Database Design, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Microsoft SQL Server, MongoDB, NoSQL, NumPy, Cloud Services, SQL Databases, Data Streaming, Data Processing, Data Ingestion, Sql Optimization, Spring Cloud, System Availability, Change Data Capture, Pandas, Event Driven Architecture, Database Migration, Data Lakes, Pyspark, Cassandra, AWS Glue, AWS Data Analytics, Real Time Data, Apache Kafka, Data Management, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Stream Processing, Data Pipelines
- **Published:** October 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8e22512bfc4565e4

## About the Role

7+ years of experience in Data Engineering and Data Integration

.Hands-on experience with AWS-based data platforms and cloud-native applications

.Strong expertise in Python and PySpark development

.Experience implementing CDC and real-time data streaming solutions

.Strong understanding of data modeling, SQL optimization, and enterprise data architecture

.Excellent communication and stakeholder management skills

Primary Skills (must have): AWS Glue, SNS/SQS, Python/PySpark, Datalake, CloudWatch, DB design, and SQL.

Secondary Skills (knowledge is a must): AWS IAM, EKS, Terraform, Apache Airflow, AutoSys

## Description

Design, develop, and maintain scalable data pipelines in AWS using AWS Glue, Python, and PySpark.

.Build robust data ingestion frameworks to collect and process data from multiple on-premises and cloud-based sources.

.Implement Change Data Capture (CDC) solutions for near real-time data synchronization and replication.

.Utilize AWS Database Migration Service (AWS DMS) to migrate and replicate data across enterprise systems with minimal downtime

.Design and implement event-driven architectures using Kafka, Amazon SNS, Amazon SQS, and EventBridge

.Develop cloud-native data processing solutions supporting high availability, scalability, and performance

.Build, optimize, and maintain enterprise Data Lake solutions

.Monitor and troubleshoot data workflows using AWS CloudWatch and AWS CloudTrail

.Develop efficient Python-based data processing applications leveraging libraries such as Pandas and NumPy

.Work with relational and NoSQL databases including SQL Server, DynamoDB, MongoDB, and Cassandra

.Support migration and modernization of legacy data pipelines into AWS-based architectures

.Collaborate with business stakeholders, application owners, and data teams to understand data architecture, business requirements, and analytics needs

.Document data models, ETL processes, data flows, and target-state architectures

.Drive continuous improvements in data quality, platform performance, security, and operational efficiency

Required Skills AWS Glue AWS DMS (Database Migration Service) CDC (Change Data Capture) Python / PySpark Kafka or SNS/SQS Data Lake Architecture SQL & Database Design Data Integration & ETL Development

Preferred Skills:

AWS IAM

Amazon EKS

EventBridge

MongoDB, Cassandra, DynamoDB

Data Migration & Modernization Projects

Real-Time Streaming Architectures

CI/CD for Data Platforms