Sr Data Engineer

• Overseeing technological choices and implementation of data pipelines and warehousing philosophy
• Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating our data value chain processes
• Promoting technical best practices throughout the data organization
• Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data.
• Mentor data team members in architecture and coding techniques.
• Serve as a source of knowledge for the Data Engineering team for process improvement, automation and new technologies available to enable best-in-class timeliness and data coverage
• Design data pipelines utilizing ETL tools, event driven software, and other streaming software.
• Partner with both data scientists and engineers to bring our amazing concepts to reality. This requires learning to speak the language of statisticians as well as software engineers.
• Ensure reliability in data pipelines and enforce data governance, security and protection of our customer s information while balancing tech debt.
• Demonstrate innovation, customer focus, and experimentation mindsets
• Partner with product and engineering teams to design data models for downstream data maximization.
• Evaluate and champion new engineering tools that help us move faster and scale our team

• Extensive experience with data engineering techniques, Python and using SQL
• Familiarity and working knowledge of Airflow and dbt
• You are comfortable and have expertise in data engineering tooling such as jira, git, buildkite, terraform, airflow, dbt and containers as well as GCP suite, terraform kubernetes, cloud functions
• You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability.
• You enjoy being a high-level architect sometimes, and a low-level coder sometimes
• You are passionate about all things data: Big data, small data, moving and transforming it, its quality, its accessibility, and delivering value from it to internal and external clients
• You want ownership to solve for and lead a team to deliver modern and efficient data pipeline components
• You are passionate about a culture of learning and teaching
• You love challenging yourself to constantly improve, and sharing your knowledge to empower others
• You like to take risks when looking for novel solutions to complex problems. If faced with roadblocks, you continue to reach higher to make greatness happen

Technologies You Will Use

• Python for data pipelining and automation.
• Airbyte for ETL purpose
• Google Cloud Platform, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow!
• Airflow and dbt for data pipelining
• Tableau and PowerBI for data visualization and consumer facing dashboards.