Senior Data Engineer

🔥 5 hours ago

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Full Scale

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Full Scale is a staff augmentation company that focuses on providing exceptional tech talent to businesses across various industries. Founded by Matt Watson, a seasoned tech entrepreneur, Full Scale has partnered with over 200 tech companies since its inception, offering top-notch services while fostering a positive work environment for its employees. The company's commitment to corporate social responsibility is evident in its engagement in community outreach, environmental sustainability, and educational initiatives.

📋 Description

• Own and improve the reporting and semantic layer in DOMO. • Integrate data from Snowflake, BigQuery, SQL Server, and other external sources into DOMO. • Build and optimize DOMO data flows, datasets, and reporting pipelines. • Administer and maintain Snowflake environments, including provisioning, RBAC, security controls, and access management. • Design and operate scalable Snowflake ingestion and transformation pipelines using Streams and Dynamic Tables. • Manage BigQuery integrations, access controls, and connectivity with DOMO. • Design, troubleshoot, and optimize complex SQL Server queries and database workflows. • Use advanced SQL techniques, including window functions, to support data transformation and analysis. • Build and maintain orchestration pipelines using Airflow, Dagster, or similar tools. • Develop and maintain dbt models, testing, documentation, and transformation workflows. • Monitor data quality, pipeline performance, and reliability across the end-to-end data lifecycle. • Partner with engineering, analytics, and business teams to define data requirements and deliver dependable solutions.

🎯 Requirements

• At least 7 years of experience in Data Engineering, Data Architecture, or a related role. • Strong hands-on experience with Snowflake administration, architecture, security, and RBAC. • Strong experience with DOMO, including data integrations, data flows, datasets, and reporting support. • Strong experience with Google BigQuery and GCP access management. • Advanced SQL and SQL Server experience, including complex query optimization and window functions. • Experience designing and maintaining scalable ETL or ELT pipelines. • Experience with dbt and at least one orchestration platform such as Airflow or Dagster. • Experience managing data access, governance, and security controls. • Ability to work independently and own data infrastructure from database administration through BI delivery. • Strong problem-solving, communication, and stakeholder-management skills.

🏖️ Benefits

• Work from anywhere in the Philippines