Junior Data Engineer

• Assist the Data Engineering team with migration from BigQuery to Snowflake
• Translate and optimize SQL queries across platforms
• Perform end-to-end validation to ensure data correctness and pipeline reliability
• Write and maintain incremental dbt models
• Collaborate closely with data engineers, analysts, and stakeholders to understand data needs and deliver solutions
• Participate in code reviews, share knowledge, and contribute to team best practices
• Document work clearly to support maintainability and knowledge sharing

• 1+ years of experience in data engineering
• Solid experience with SQL, including writing and debugging queries
• Basic knowledge of dbt (data build tool)
• Familiarity with Snowflake and/or Python at a beginner level
• Curiosity for learning and willingness to adopt new tools
• Collaborative mindset and strong communication skills
• Attention to detail regarding data quality and validation
• Good organizational skills and ability to manage tasks in a fast-paced environment
• Upper-Intermediate level of English

WILL BE A PLUS

• Knowledge/experience with Go, Kafka, Airflow

PERSONAL PROFILE

• Motivated and detail-oriented professional with a passion for data engineering
• Enjoys learning new tools and technologies
• Committed to delivering high-quality, reliable data solutions

Are you passionate about building reliable, scalable data systems? We are looking for a Junior Data Engineer to join our Data Engineering team at Sigma Software. This is a remote, full-time opportunity where you will work on a modern cloud-native data stack, contributing to high-impact projects across the business.

At Sigma Software, we believe in empowering our people to grow, share ideas, and make a difference. You will be part of a supportive, feedback-driven culture with opportunities for skill development and career progression.

CUSTOMER
Our Customer is a global provider of comprehensive security solutions designed to protect individuals, organizations, and communities. Operating across multiple sectors, they address vulnerabilities and ensure protection against a wide range of risks, with a strong focus on digital security. Their innovative approach combines advanced technology and proactive strategies to safeguard high-value assets and maintain operational stability.

PROJECT
The project delivers comprehensive visibility and autonomous governance over dynamic execution patterns. By enforcing real-time operational protocols, it safeguards high-value information assets against unauthorized access and proactively neutralizes systemic anomalies to ensure total environment stability. The team works with a modern cloud-native data stack, enabling scalable and reliable data infrastructure across the business.

Key Technologies: Python, Snowflake, BigQuery, dbt, Go, Kafka, Airflow