AWS Big Data Engineer with AI/ML

Qualifications

• Seeking a Data Engineer with 10+ years of hands-on data architecture experience designing and managing large-scale data lakes and warehouses
• Solid understanding and hands-on experience with Apache Iceberg and AWS Glue
• Deep experience with AWS systems like Lake formation, IAM and Redshift
• Proficiency in Python, Scala, or Java for ETL and custom tooling is essential
• Proven expertise in complex schema and ERD design, maintaining data dictionaries, and developing real-time/batch data pipelines using tools like Kafka, Spark, or similar
• AI/ML integration familiarity, leadership abilities, and strong problem-solving skills
• Work and Technical Experience:
• Big Data Technologies
• Experience in data and ML lifecycle

Full Description

Title: AWS Big Data Engineer with AI/ML

Location: Seattle, WA - Onsite

Duration: Long term

1. Key Result Areas and Activities:

Seeking a Data Engineer with 10+ years of hands-on data architecture experience designing and managing large-scale data lakes and warehouses.

Solid understanding and hands-on experience with Apache Iceberg and AWS Glue

Deep experience with AWS systems like Lake formation,IAM and Redshift.

Proficiency in Python, Scala, or Java for ETL and custom tooling is essential.

Proven expertise in complex schema and ERD design, maintaining data dictionaries, and developing real-time/batch data pipelines using tools like Kafka, Spark, or similar.

AI/ML integration familiarity, leadership abilities, and strong problem-solving skills

2. Work and Technical Experience:

Essential Skills:

Big Data Technologies

AWS experience AWS Glue, Redshift, SageMaker

Databricks

Snowflake

Building large pipelines

Experience in data and ML lifecycle