Techtorch - Full Stack Data Engineer
Requirements
• We’re looking for high-caliber professionals who meet the following criteria: • 4–7 years of experience in Data Engineering, BI Development, or analytics engineering roles • Strong hands-on experience with Snowflake (schema design, performance tuning, warehousing concepts) • Advanced SQL proficiency and solid Python skills for data transformation and pipeline development • Experience with dbt, Airflow, or similar ETL/ELT orchestration tools • Strong experience with Tableau and/or Power BI for dashboard and visualization development • Solid understanding of data warehousing concepts, dimensional modeling, and analytics architecture • Experience working in cloud environments (AWS, Azure, or GCP) • Strong analytical mindset with the ability to translate business needs into scalable technical solutions • Excellent communication skills and comfort working in consulting-style environments • Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field preferred. • Client First — We focus relentlessly on delivering outcomes that create value for our clients. • We, Not Me — We win together. Collaboration drives transformation at scale. • Get Stuff Done — We execute with speed and precision — because in PE, time matters. • AI First — We embed AI at the core, enabling scalable, high-leverage solutions. • Own It — We take accountability for results, delivering on what we promise. • Agile Mindset — We adapt quickly and proactively seek better ways to move forward.
Responsibilities
• Data Engineering & Architecture • Design, develop, and maintain scalable data pipelines for batch and near-real-time use cases • Build and optimize Snowflake architecture, including schema design, data modeling, performance tuning, and warehouse optimization • Integrate data from APIs, databases, SaaS platforms, and enterprise systems into a unified data warehouse • Implement and manage ETL/ELT workflows using tools such as dbt, Airflow, or equivalent orchestration frameworks • Ensure data quality, reliability, governance, and proper documentation across the data lifecycle • Business Intelligence & Analytics • Develop executive-level dashboards and reports using Tableau and/or Power BI • Translate business requirements into scalable data models and analytics-ready datasets • Analyze complex datasets to identify trends, performance drivers, and operational insights • Optimize dashboard performance, usability, and governance standards • Train business users and promote adoption of BI solutions across the organization • Cross-Functional Collaboration • Partner with analysts, AI engineers, delivery managers, and business stakeholders to align data architecture with strategic objectives • Support AI and advanced analytics initiatives by providing clean, curated, and well-structured datasets • Contribute to best practices in data engineering, analytics standards, and platform governance
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