Junior Data Engineer
Location: Kyiv, Kyiv city, ua, Remote
Company Description
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
Job Description
- 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
Qualifications
- 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
Additional Information
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
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