Sigma Software
Security Solutions
JuniorDataEngineer
Neural analysis suggests this role is
optimal for entry candidates.
“Junior Data Engineer at Sigma Software. Skills: Data Engineering, Python, SQL. Assist with migration. Translate SQL queries”
What You'll Achieve.
Ensure data correctness; Ensure pipeline reliability; Deliver high-quality data solutions; Deliver reliable data solutions
Industry & Context.
What They're Looking For.
Must Have
1+ years of experience in data engineering, Experience with Python, Solid experience with SQL, Basic knowledge of dbt, Familiarity with Snowflake, Curiosity for learning, Willingness to adopt new tools, Collaborative mindset, Communication skills, Attention to detail regarding data quality and validation, Good organizational skills, Ability to manage tasks in a fast-paced environment, Upper-Intermediate level of English
Nice to Have
Knowledge/experience with Go, Knowledge/experience with Kafka, Knowledge/experience with Airflow
What You'll Do.
Assist with migration
Translate SQL queries
Understand data needs
Participate in code reviews
Contribute to best practices
How You'll Work.
Team & Collaboration
Collaborate closely with data engineers; Collaborate closely with analysts; Collaborate closely with stakeholders; Contribute to team best practices
Communication Scope
Communication skills
Full Job 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 * 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
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