Lead Data Engineer / DataOps – Snowflake & AWS Data Platform

Square One Resources is recruiting an experienced Data Engineer / DataOps Specialist to join a data engineering team responsible for building and automating modern data products within a cloud-based data platform.

• Minimum 3–4 years experience as a Data Engineer, DataOps Engineer, or similar role.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related technical field.
• Strong hands-on experience with modern data engineering practices and cloud-based data platforms.
• Strong experience with GitLab CI/CD pipelines and workflow orchestration.
• Proficiency in Python for data manipulation, automation scripting, and data workflows.
• Advanced SQL skills with experience in analytical databases.
• Experience with Snowflake, Amazon Redshift, or Google BigQuery.
• Experience writing and maintaining Bash scripts.
• Ability to design and implement automated tests ensuring data quality and reliability.
• Experience with ETL and data integration processes; experience with Talend or similar ETL platforms is an advantage.

Nice to have:

• Experience with dbt (Data Build Tool).
• Understanding of Data Mesh principles.
• Familiarity with data governance tools: Monte Carlo, Collibra, Immuta.
• Experience in enterprise-scale data environments.
• Previous experience as a technical lead or driving technical decisions.

• Design, develop, and maintain data products using Snowflake and AWS S3.
• Build and optimize scalable data pipelines orchestrated via GitLab CI/CD.
• Automate data workflows and integrations based on SAP HANA views.
• Develop Python scripts and automation solutions for data processing and operations.
• Write efficient and optimized SQL queries for analytical data processing.
• Implement data quality frameworks, validation processes, and automated testing.
• Collaborate with business stakeholders and technical teams to deliver effective data solutions.
• Act as a technical leader, defining engineering standards, reviewing solutions, and promoting best practices.
• Evaluate and recommend new technologies and tools to improve data platform capabilities.
• Support continuous improvement of data delivery, automation, and operational excellence.