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InOrg

via Breezy

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Sigma Developer

Anywhere
contractor
Posted 9/18/2025
Direct Apply
Key Skills:
SQL
Python
Data Engineering
Data Warehousing
ELT
ETL
Cloud Platforms
Snowflake
Databricks
Data Pipelines
Data Models
Data Architectures
Analytics
Business Intelligence
dbt
Data Quality

Compensation

Salary Range

$Not specified

Responsibilities

The Sigma Developer builds data pipelines, models, and architectures to power analytics and business intelligence within the Sigma Computing ecosystem. The role focuses on transforming raw data into actionable insights by designing scalable data solutions and ensuring data quality.

Requirements

Key skills include proficiency in SQL and Python, experience with dbt, and a strong understanding of data warehousing and ELT/ETL processes. A data engineering background is essential for this role.

Full Description

About InOrg Global: InOrg Global helps organizations achieve global competitiveness through seamless integration of talent, technology, and strategic capabilities. As a Global Capability Center Partner to companies of all sizes, from startups to Fortune500s, InOrg Global augments clients capabilities to rapidly scale their teams and meet evolving business demands. Our Core Values: Trust: We prioritize building trust in every aspect of our business, fostering relationships based on integrity and reliability. Transparency: We believe transparent practices ensure accountability, build credibility, and foster a culture of trust and collaboration Adaptability: We thrive in dynamic and evolving environments, embracing change with flexibility and resilience Innovation: Innovation is at the heart of everything we do. We encourage creativity, curiosity, and forward thinking to drive continuous improvement and solve complex challenges Sigma Developer: A Sigma developer with a data engineering background builds data pipelines, models, and architectures, typically leveraging cloud platforms like Snowflake and Databricks, to power analytics and business intelligence within the Sigma Computing ecosystem. Key skills include proficiency in SQL and Python, experience with dbt, and a strong understanding of data warehousing and ELT/ETL processes. The role focuses on transforming raw data into actionable insights by designing scalable data solutions and ensuring data quality.

This job posting was last updated on 9/20/2025

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