Junior Data Engineer
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
Experience with Python
Solid experience with SQL, including writing and debugging queries
Basic knowledge of dbt
Familiarity with Snowflake
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
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
Experience with Python
Solid experience with SQL, including writing and debugging queries
Basic knowledge of dbt
Familiarity with Snowflake
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