Data Engineer (Remote)

We are looking for a skilled Data Engineer to join our growing team! This is a pivotal role focused on migrating legacy solutions to a modern cloud-based platform and implementing Data Vault 2.0 modeling to power our enterprise analytics.

If you thrive in a collaborative, Agile environment and love building scalable data architectures, we want to hear from you.

Role Overview

Work Type: 100% Remote - Sri Lanka
Working Hours: Monday – Friday, starting from 4:00 AM (Sri Lanka Time)
Focus: Cloud Migration, Data Vault 2.0, and Snowflake Architecture

Key Responsibilities

Data Platform Delivery: Build and maintain high-performance ELT pipelines and SQL-based transformations within a cloud ecosystem (Snowflake/Azure).
Data Vault 2.0 Modeling: Design and implement Hubs, Links, and Satellites; re-engineer legacy reporting into auditable, scalable patterns.
Ingestion & Orchestration: Manage data workflows using tools like Azure Data Factory and handle structured file formats (Parquet/Delta).
Reporting Enablement: Develop reporting-ready layers, information marts, and dimensional models to support Power BI and Power Automate.
Agile Collaboration: Participate in Scrum ceremonies, peer reviews, and sprint planning via Jira to ensure continuous delivery improvement.

Requirements

Essential:

Experience: Proven track record as a Data Engineer delivering enterprise-grade data platforms.
Modeling: Practical expertise in Data Vault 2.0 implementation.
Technical Stack: Strong SQL (complex transformations/tuning) and hands-on experience with Snowflake.
Cloud Proficiency: Solid understanding of cloud ecosystems (Azure preferred).

Desirable:

Familiarity with Azure Data Factory and CI/CD/DevOps practices.
Experience with Parquet/Delta file-based ingestion.
Knowledge of Data Vault automation tooling.

Certifications:

Data Vault 2.0: Highly preferred (Mandatory if practical experience is limited).
Snowflake/Azure: Fundamentals or Professional certifications are a plus.

Benefits

Global Collaboration: Work with a diverse, high-performing international team.
Modern Tech Stack: Gain deep, hands-on experience with Snowflake, Azure, and Data Vault 2.0.
Remote Flexibility: Enjoy the comfort of working from home with a structured early-shift schedule.
Growth Culture: Contribute to a team that values knowledge-sharing, peer reviews, and professional development.