Astrafy

Data Engineer

• Work on different projects to help Astrafy customers get the most out of their data.
• Design and maintain scalable data pipelines leveraging technologies such as Airflow, dbt, BigQuery, Pubsub, and Snowflake.
• Develop and optimize data infrastructure in the Google Cloud environment.
• Use Terraform to automate infrastructure provisioning and manage containerized workloads.
• Implement robust data governance, security, and quality measures.
• Collaborate with cross-functional teams to design and deploy BI dashboards and other analytics solutions.
• Continuously refine data architecture to accommodate changing business needs.
• Champion a culture of innovation by researching, evaluating, and recommending emerging data technologies and industry best practices.

Data Engineer – Internship

• You will work on different projects to help Astrafy customers get the most out of their data.
• Handle both the business and technical sides of the customer use case, bridging the gap between raw cloud infrastructure and business-ready insights.
• Architect Tailored Solutions: Translate client business goals into highly scalable, cost-efficient data platform designs combining Google Cloud’s power with open-source flexibility.
• Design and deploy modern exposition layers to keep insights accessible and cost-effective.
• Set up automated data quality, lineage, monitoring frameworks and access management to guarantee high-trust data across business units.
• Design and maintain robust ELT pipelines, generally powered by Apache Airflow and dbt Core, optimized for Google BigQuery.
• Provision and manage GCP infrastructure (Cloud Storage, Pub/Sub, Cloud Functions) using Terraform, adhering to clean, declarative GitOps workflows.
• Set up robust CI/CD pipelines (e.g., GitHub Actions) to automate testing, linting, and zero-downtime deployment of dbt and Airflow workflows.
• Write articles, offering valuable insights and thought leadership to enhance Astrafy's impact further and foster greater collaboration within our field.

• Step into a team leader role, progressively taking charge of 5 team members.
• Design and maintain scalable data pipelines leveraging technologies such as Airflow, dbt, BigQuery, Pubsub, and other Google Cloud / Open Source tools.
• Develop and optimize data infrastructure in the Google Cloud environment.
• Use Terraform to automate infrastructure provisioning and manage containerized workloads.
• Implement robust data governance, security, and quality measures.
• Continuously refine data architecture to accommodate changing business needs.
• Champion a culture of innovation by researching, evaluating, and recommending emerging data technologies and industry best practices.

Senior Data Engineer

Account Executive

• Own the full sales cycle from prospecting to closing engagements
• Build targeted prospect lists and run multi-channel outreach campaigns
• Attend business conferences and networking events to generate leads
• Actively maintain client relationships and CRM hygiene
• Create and execute territory sales plans to achieve sales targets
• Cultivate stakeholder relationships and deliver tailored solutions

Data Engineer – Internship

Data Engineer

Senior Data Engineer

Account Executive, Data & AI