Data Engineer

• Understand goML s data engineering frameworks, delivery standards, and AWS architecture patterns
• Deep dive into ongoing client projects, data models, and ETL workflows
• Collaborate with stakeholders to understand business requirements and data challenges
• Review existing data pipelines and identify opportunities for improvement

• Lead the design and development of data solutions across client engagements
• Build and optimize ETL pipelines and data integration workflows
• Apply best engineering practices including agile delivery, unit testing, and peer reviews
• Translate business requirements into clear technical designs and implementation plans
• Work closely with cross-functional teams to ensure smooth execution from development to deployment
• Create and maintain technical documentation, solution designs, and test plans

• Own end-to-end delivery of AWS-based data platforms for multiple clients
• Design scalable and flexible data architectures aligned with evolving business needs
• Drive deployment, user onboarding, and change management during project rollouts
• Ensure reliability, performance, and data quality across production systems
• Mentor junior engineers and influence data engineering best practices at goML

• 3-7 years of experience in data engineering, preferably in consulting or large-scale solution delivery
• Strong understanding of ETL processes, data warehousing, and data integration
• Proficiency in SQL / PL SQL and database development
• Experience designing scalable, flexible data solutions driven by business requirements
• Hands-on experience with AWS data services
• Experience with backend databases (e.g., Oracle) and/or ETL tools (e.g., Informatica)
• Bachelor s or Master s degree in Computer Science, Information Systems, or a related field

• Experience working with multiple client stakeholders and delivery teams
• Exposure to modern cloud-native data stacks and data lake architectures
• Familiarity with CI/CD practices for data pipelines
• Strong documentation and communication skills

• Comfortable leading data solution design and execution
• Methodical, detail-oriented, and quality-focused
• Able to translate complex business needs into clear technical outcomes
• A strong collaborator who works well across teams and clients

• Remote-first role with flexible collaboration
• Work on diverse client projects across industries
• High ownership and visibility in data platform delivery
• Opportunities to grow into solution architect or technical lead roles
• A culture driven by learning, ownership, and impact

Required Skills