Job Description
Our client is looking for a Senior AWS Data Engineer to work on MDM project, an enterprise platform that creates a trusted view of business data. This role is hands-on and focused on building scalable data pipelines, improving data quality, and supporting entity resolution and ML-assisted matching. This is ideal for someone who enjoys working with large datasets and owning production-grade pipelines on AWS.
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Required Skills & Experience
What You’ll Do
• Build and maintain data pipelines on AWS
• Develop ETL jobs using AWS Glue (PySpark) and Amazon EMR
• Orchestrate workflows using Apache Airflow
• Support full and incremental data processing
• Implement data matching, deduplication, and entity resolution
• Monitor, troubleshoot, and support production pipelines
• Partner with analytics and business teams
Required Skills
• Strong AWS data engineering experience
• Python and PySpark development
• Hands-on with AWS Glue and Amazon EMR
• Experience using Apache Airflow
• Strong SQL skills
• Experience working with large datasets
• Familiarity with ML concepts for data quality or matching
Experience
• 6+ years of experience in data engineering or related roles
Nice to Have Skills & Experience
Nice to Have
• Experience with entity resolution, fuzzy matching, or deduplication
• Experience with AWS Entity Resolution
• Experience in Business MDM programs
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.