Senior AWS Data Engineer

10+ years of experience in Data Engineering or Software Engineering. 4-5 years of dedicated hands-on experience with AWS. Proven experience designing and implementing large-scale, production-grade data platforms. Expertise with AWS data services, including: - Amazon S3 - AWS Glue - Amazon Redshift - Amazon EMR - AWS Lambda - AWS Step Functions - Amazon Kinesis - Amazon MSK Strong programming skills in Python, Scala, or Java. Deep experience with ETL/ELT frameworks and data pipeline orchestration tools, including Airflow and AWS-native orchestration services. Strong understanding of data modeling, distributed systems, and performance tuning. Experience with CI/CD practices and Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

Design and implement large-scale, production-grade data platforms using AWS services. Develop ETL/ELT frameworks and manage data pipeline orchestration to ensure efficient data flow.

Requires over 10 years of experience in data or software engineering with 4-5 years of dedicated AWS expertise. Proficiency in Python, Scala, or Java and experience with Infrastructure as Code tools is essential.

• Amazon Web ServicesPreferred
• JavaPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• AWS
• Python
• Scala
• Java
• Amazon S3
• AWS Glue
• Amazon Redshift
• Amazon EMR
• AWS Lambda
• AWS Step Functions
• Amazon Kinesis
• Amazon MSK
• Airflow
• Terraform
• AWS CDK
• CloudFormation

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum experience

10+ years

Apply by

Sep 26, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available