Senior AWS Data Engineer — Data Lake & Warehouse Expert

Robotic Technologies Automation; New Jersey; On-site; USD 140,000 - 170,000; Full time

Job summary

Robotic Technologies Automation is seeking an AWS Data Engineer to design, develop, and maintain scalable data pipelines in AWS. You will work with data scientists, analysts, and business stakeholders to deliver robust data solutions and enable data-driven decisions.

The role requires 8+ years of experience, strong Python and PySpark skills, and deep AWS expertise to implement data lakes, data warehouses, and streaming solutions. Collaboration across teams and a proactive mindset are essential.

Qualifications

• 8+ years of experience implementing data lakes, data warehouses, and data applications on AWS for large enterprises.
• Strong programming experience with Python, Shell scripting, and SQL.
• Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
• Experience in serverless application development and data pipeline orchestration.
• Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.

Responsibilities

• Design, build, and maintain data pipelines and applications on AWS.
• Build ingestion pipelines from on-prem to AWS and within AWS using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.
• Develop ETL/ELT processes to collect, process, and store data from multiple sources with quality and security.
• Architect end-to-end data solutions with a focus on data lakes and data warehouses.
• Participate in architecture discussions for high-scale data projects.
• Hands-on development, unit testing, and code reviews.
• Implement serverless apps using Lambda, API Gateway, Step Functions, etc.
• Migrate data to AWS data lakes (S3), RDS, Aurora, Redshift.
• Implement streaming solutions with Kinesis, SQS, Kafka.
• Design CI/CD strategies for enterprise data platforms.
• Collaborate with product, operations, QA, and cross-functional teams.

Skills

Team collaboration

Problem solving

Communication

Adaptability

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

PySpark

AWS

S3

Redshift

Glue

Kinesis

Job description

Robotic Technologies Automation is seeking an AWS Data Engineer to design, develop, and maintain scalable data pipelines in AWS. You will work with data scientists, analysts, and business stakeholders to deliver robust data solutions and enable data-driven decisions.

The role requires 8+ years of experience, strong Python and PySpark skills, and deep AWS expertise to implement data lakes, data warehouses, and streaming solutions. Collaboration across teams and a proactive mindset are essential.