What Youll Do :

- 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 customers 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.

What Youll Need :

- A Technical Bachelor/Master's Degree with 5+ years of experience across Data Engineering (Data Pipelining, Warehousing, ETL Tools etc.

- 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.

WHATS IN IT FOR YOU?

At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done.