Requirements

Expected technologies

SQL

Our requirements

• Proven experience building and operating cloud data platforms, ideally on Google Cloud Platform with BigQuery.
• Strong background in data engineering, including ETL pipeline development and orchestration using Airflow or Cloud Composer.
• Advanced SQL development skills, with at least 7 years of hands-on experience designing and optimizing queries and schemas.
• Experience in Shell scripting, Git, and with data build tools (DBT).
• Experience with BI Tools – ideally Looker, Looker Studio.
• Experience working in a DevOps environment with continuous integration, continuous delivery.
• Experience collaborating with technical teams and project managers to deliver efficient, controlled solutions.
• Comfortable working independently and proactively in fast-paced, ambiguous situations, driving improvements and resolving issues as they arise.

Your responsibilities

• Design, develop, test, and deploy data transformation pipelines and ETL processes for cloud-based analytics solutions.
• Collaborate with multi-disciplinary teams to deliver enriched datasets, dashboards, and actionable metrics for DevOps improvement.
• Ensure data quality, integrity, and reliability throughout the data lifecycle, from ingestion to presentation.
• Operate and iterate on our cloud data platform capabilities, supporting both greenfield and existing ecosystem components.
• Partner with business stakeholders to understand requirements and translate them into scalable data solutions.
• Contribute to continuous improvement by experimenting with new technologies, tools, and approaches.
• Take ownership of tasks and proactively resolve issues to ensure timely delivery of software and analytics products.