Data Developer

This is a fully remote position, open to applicants in United States.

📋 Description

• Manage analytical functions, software development, and process enhancements for the ingestion, analysis, and reporting of financial data across decentralized assets, traditional financial instruments, and internal cost reporting.

• Design and uphold ETL processes for core platform data acquisition utilized by APIs and dashboards.

• Support the Anseta data lead in formulating data strategy and systems architecture.

• Aggregate data for monthly performance reports concerning decentralized proof-of-stake nodes.

• Assess and oversee data quality.

• Maintain a comprehensive understanding of collected data and assist both technical and non-technical team members in comprehending and utilizing it.

• Report directly to the Anseta data lead.

⛳️ Requirements

• Actively engages with team members distributed across various time zones, ensuring clear communication and fostering strong professional relationships despite physical distances.

• Employs stringent software engineering methodologies, clean code principles, and solid architecture to guarantee high data accuracy, system efficiency, and scalable data pipeline design.

• Converts intricate financial and technical data structures into straightforward, actionable insights for both technical colleagues and non-technical stakeholders.

• Assumes full accountability for complete data processes, propelling complex data acquisition and integration projects with minimal direct supervision.

• Manages highly sensitive financial data and internal cost metrics with utmost integrity, strict confidentiality, and adherence to data governance standards.

• Experience or knowledge in accessing and interpreting web3 and decentralized asset technologies is highly preferred.

• Data Analysis.

• Business Intelligence Platforms.

• Data Visualization (Looker Studio).

• TypeScript for platform development.

• Rust for high-performance platform development is preferred.

• Python is preferred.

• Express.

• ORM usage, with Prisma experience being advantageous.

• PostgreSQL, with Timescale experience being advantageous.

• GCP data stack, including BigQuery and CloudSQL.

• Kubernetes.

• Spark.

• Kinesis.

• Looker Studio and related tools.

• Kafka.

• AWS data stack.

• Data orchestration tools such as Apache Airflow, Prefect, or Dagster.

• Containerization and infrastructure tools like Docker and Terraform.

• Version control and CI/CD tools such as Git, GitHub Actions, or GitLab CI.

🏝️ Benefits

• Villa Access.

• Invest desk access.