AWS Data Engineer: Data Lakes & Pipelines on AWS

Robotics Technologies LLC; Chicago (IL); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC in Chicago seeks an AWS Data Engineer to design, develop, and maintain scalable data pipelines in the AWS cloud. You will collaborate with data scientists and analysts to deliver robust data solutions, focusing on data lakes, data warehouses, and secure data processing.

The role emphasizes serverless architectures with AWS Lambda, Step Functions, Kinesis, and SQS, plus ongoing cost, performance, and scalability optimizations for enterprise datasets.

Competenze

• Bachelor's degree in CS or related field or equivalent experience.
• 5+ years designing and supporting data lakes, data warehouses, and data apps on AWS.
• Strong programming with Python, SQL, and shell scripting; data modeling expertise.

Mansioni

• Design, build, and maintain scalable data pipelines and architectures on AWS.
• Ingest data from on-premise to AWS and within AWS using Glue, Redshift, S3, Lambda, EMR, Kinesis.
• Develop ETL/ELT processes with a focus on data quality, security, and governance.
• Architect end-to-end data solutions including data lakes and data warehouses.
• Collaborate with data scientists and analysts across the business to deliver robust data solutions.
• Implement serverless apps and CI/CD for enterprise data platforms; optimize for cost and reliability.

Conoscenze

Python

SQL

Shell scripting

Data modeling

ETL/ELT

Formazione

Bachelor's in CS / MIS

Equivalent experience

Strumenti

AWS CloudFormation

S3

Athena

Glue

EMR/Spark

RDS

Redshift

DynamoDB

Lambda

Step Functions

IAM

KMS

Secrets Manager

Kinesis

SQS

Kafka

Descrizione del lavoro

Robotics Technologies LLC in Chicago seeks an AWS Data Engineer to design, develop, and maintain scalable data pipelines in the AWS cloud. You will collaborate with data scientists and analysts to deliver robust data solutions, focusing on data lakes, data warehouses, and secure data processing.

The role emphasizes serverless architectures with AWS Lambda, Step Functions, Kinesis, and SQS, plus ongoing cost, performance, and scalability optimizations for enterprise datasets.