MDM Data Engineer

Responsibilities

• Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
• Build and maintain ETL/ELT workflows using AWS Glue, Lambda, and Python to support a variety of data integration needs.
• Develop, deploy, and optimize APIs to enable seamless data access for business intelligence, analytics, and operational systems.
• Analyze, debug, and resolve data quality issues and pipeline failures to ensure data accuracy and reliability.
• Collaborate across teams—including data science, analytics, and software engineering—to design and implement reusable data models.
• Create and maintain documentation, architecture diagrams, and data flow maps for internal and external use.
• Implement and manage data governance, security protocols, compliance standards, and privacy best practices.
• Incorporate AI tools, such as ChatGPT, to streamline engineering tasks, documentation, and data exploration.
• Lead integration efforts with third-party APIs and data sources to expand the organization’s data capabilities.
• Establish and enforce architectural best practices, CI/CD pipelines, and Infrastructure as Code (IaC) in collaboration with DevOps teams.
• Mentor team members, stay current with AWS innovations, and champion modern data practices across the organization.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Analytics, or related field.
• 5+ years of experience in data architecture, engineering, or similar roles.
• 3+ years of hands-on programming experience with Python.
• 3+ years of experience building and managing ETL/ELT data pipelines.
• Strong SQL skills and ability to write performant queries across various data stores.
• Proficient with AWS services: Lambda, Glue, S3, DynamoDB, Athena, Redshift, and Snowflake.
• Solid understanding of OLTP, ODS, and dimensional modeling techniques.
• Experience designing APIs and integrating with API-driven data workflows.
• Strong knowledge of serverless architecture patterns and best practices.
• Excellent problem-solving, analytical, and communication skills.
• Experience in agile development environments with CI/CD workflows.
• Able to collaborate across engineering, data, and business teams.