AWS Data Engineer: Data Lakes, ETL & Cloud Pipelines

Robotic Technologies Automation; Dallas (TX); On-site; USD 77,000 - 110,000; Full time

Job summary

Robotic Technologies Automation is seeking an AWS Data Engineer in Dallas, TX for a 7-month engagement. The role focuses on designing, building, and maintaining scalable data pipelines and architectures in AWS, collaborating with data scientists and stakeholders to deliver robust data solutions.

The ideal candidate will have 5+ years of AWS data engineering experience, strong Python/SQL, and hands-on use of Glue, Redshift, S3, EMR, Lambda and Kinesis, with a focus on data lakes and data

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent.
• 5+ years building data lakes, data warehouses and data apps on AWS for large enterprises.
• Strong Python, SQL and shell scripting.
• Hands-on with AWS services: Glue, Redshift, S3, EMR, Lambda, Kinesis, CloudFormation, IAM, KMS, Secrets Manager.
• Experience with serverless data pipelines and orchestration tools.
• Knowledge of ETL/ELT, data modeling and cloud data architectures.
• Excellent collaboration and communication skills.

Responsibilities

• Design, build and optimize scalable data pipelines and architectures on AWS.
• Create robust data ingestion pipelines from on-premise to AWS and within AWS using Glue, S3, Redshift, Redshift Spectrum and Kinesis.
• Develop and manage ETL/ELT processes to ensure data quality and security across sources.
• Architect end-to-end data solutions focusing on data lakes and data warehouses.
• Participate in architecture reviews and guide best practices for data engineering.
• Perform hands-on development, unit testing and code reviews.
• Implement serverless apps using Lambda, API Gateway and Step Functions.
• Migrate data from relational databases, file systems and APIs to AWS data lakes and Redshift.
• Enable high-velocity streaming with Kinesis and Kafka where applicable.
• Define CI/CD strategies for enterprise data platforms.
• Collaborate with product, operations, QA and cross-functional teams.
• Stay updated on new tools and pilot them for real-world use cases.

Skills

Python

SQL

AWS services

ETL/ELT

Data pipelines

Snowflake/S3

Serverless

Spark/EMR

Education

Bachelor's degree in CS/Software Eng

Tools

CloudFormation

S3

Redshift

Glue

EMR

Lambda

Kinesis

RDS

DynamoDB

Step Functions

Job description

Robotic Technologies Automation is seeking an AWS Data Engineer in Dallas, TX for a 7-month engagement. The role focuses on designing, building, and maintaining scalable data pipelines and architectures in AWS, collaborating with data scientists and stakeholders to deliver robust data solutions.

The ideal candidate will have 5+ years of AWS data engineering experience, strong Python/SQL, and hands-on use of Glue, Redshift, S3, EMR, Lambda and Kinesis, with a focus on data lakes and data