Senior Data/ML Engineer (AWS)

Responsibilities:

• Participate in data discovery workshops to inventory source systems and define data lake architecture requirements.
• Build batch and streaming data ingestion pipelines using AWS Glue, Kinesis, and Data Pipeline.
• Implement data transformation and orchestration frameworks with AWS Glue ETL and Step Functions.

Qualifications:

• 5+ years data engineering or ML engineering experience with 2+ years in AWS.
• Strong proficiency in Python and SQL; experience with AWS data services.
• Hands-on experience with Amazon SageMaker and knowledge of Amazon Bedrock.

Our Culture:

• Customer obsessed, delivery focused culture driven to exceed expectations.
• A culture of learning and sharing where knowledge and cross-functional skills are valued.
• All work is strategic, with every engagement being an opportunity to prove ourselves.