Data Engineer

GoML; Coimbatore District; Remote; INR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

Remote‑first role

Flexible collaboration

Work across diverse client projects

Growth into solution architect or tech

Ownership and impact

Job summary

goML is seeking a Data Engineer (AWS) to design and deliver robust data pipelines across client engagements. You will own end-to-end data solutions, collaborating with stakeholders to translate business needs into scalable, production-ready architectures.

Ideal candidates have 3–7 years in data engineering, strong ETL/data warehousing expertise, and hands-on AWS experience. The role is remote-first with opportunities to work across diverse clients and industries.

Qualifications

• 3–7 years of experience in data engineering, preferably 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 with AWS data services.
• Hands-on 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.

Responsibilities

• Own end-to-end data engineering efforts across client engagements.
• Design and build scalable ETL pipelines and data integration workflows.
• Apply engineering best practices including agile delivery, testing, and peer reviews.
• Translate business requirements into technical designs and implementation plans.
• Collaborate with cross-functional teams for smooth development to deployment.
• Create and maintain technical documentation, solution designs, and test plans.

Skills

ETL processes

Data warehousing

SQL/PL SQL

AWS data services

Informatica

Oracle

Education

Bachelor’s or Master’s degree in CS/IS

Tools

Informatica

Oracle

Job description

Engineer the Data Backbone for AI with goML

At goML, we build modern Generative AI, AI/ML, and Data Engineering solutions that help enterprises turn data into intelligent, scalable systems. Our mission is to bridge advanced data platforms with real-world business needs—enabling faster insights, smarter decisions, and AI-ready foundations.

We’re looking for a Data Engineer (AWS) to join our growing team. In this role, you’ll design and deliver robust, scalable data pipelines and platforms across multiple client engagements. If you enjoy solving complex data problems, working close to customers, and building production-grade data systems, you’ll thrive here.

Why You? Why Now?

As enterprises modernise their data stacks to support analytics, AI, and GenAI use cases, strong data engineering becomes mission-critical. This role is ideal for someone who enjoys owning data solutions end to end, translating business needs into technical systems, and delivering high-quality outcomes in fast-moving environments.

What You’ll Do (Key Responsibilities)

First 30 Days: Context & Discovery

• 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

First 60 Days: Build & Deliver

• 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

First 180 Days: Ownership & Scale

• 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

What You Bring (Qualifications & Skills)

Must-Have

• 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

Nice-to-Have

• 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

Who You Are

• 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

Why Work With Us?

• 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 rolesA culture driven by learning, ownership, and impact