Note: The job is a remote job and is open to candidates in USA. Kellton is seeking a hands-on, collaborative Master Data Management (MDM) Data Engineer to join their data platform team. The role involves designing and implementing scalable, cloud-native data architectures and solutions across AWS, while managing data pipelines and building APIs to support analytics and business intelligence.

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
• Ensure efficient, scalable, and secure serverless operations through performance tuning and best practices in AWS environments
• 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

Skills

• 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
• Ability to collaborate across engineering, data, and business teams
• AWS Certifications (e.g., AWS Solutions Architect)
• Experience with modern data stack tools such as dbt, Snowflake, Databricks
• Familiarity with machine learning pipelines and AI-driven analytics
• Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation
• Background in DevOps and automated deployment strategies for data workflows
• Experience integrating with ServiceNow application

Company Overview

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