Python for Data Science
GeekSoft ConsultingSweden1 day ago
Full-timeInformation Technology
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- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- 3–6 years of relevant experience in Python development and GCP-based data engineering.
- Self-driven and technically strong Python Developer with hands-on experience in Google Cloud Platform (GCP), Airflow, and infrastructure automation.
- Design, develop, and maintain scalable data pipelines and contribute to setting technical direction within the team.
- Design and Development: Build and maintain scalable data pipelines, ETL processes, and applications using Python on GCP services such as Dataflow, Dataproc, BigQuery, Cloud Storage, and Pub/Sub.
- Frameworks & Automation: Develop and orchestrate workflows using Airflow and dbt, ensuring reliability and performance.
- Infrastructure as Code: Use Terraform and Python scripting to provision, manage, and automate GCP infrastructure.
- CI/CD & Automation: Implement and maintain CI/CD pipelines, automating deployments, testing, and monitoring of cloud-based solutions.
- Data Modeling & Analysis: Work with data models, warehouses, and lakes; perform data analysis using Pandas, PySpark, and SQL.
- Collaboration & Mentorship: Collaborate with cross-functional teams, conduct code reviews, and provide mentorship to junior engineers.
- Troubleshooting & Support: Diagnose and resolve technical issues related to GCP and Python applications in production environments.
- Strong programming expertise in Python and Java, with hands-on experience in frameworks like Flask or Django.
- Proficiency with GCP services, including Compute Engine, GKE, Cloud Functions, Cloud Storage, BigQuery, Dataflow, and Dataproc.
- Experience working with Airflow, dbt, Terraform, and CI/CD pipelines in GCP.
- Strong SQL skills for data manipulation and querying.
- Experience with version control tools (Git).
- Excellent analytical, troubleshooting, and communication skills.
- GCP certifications (e.g., Professional Data Engineer, Associate Cloud Engineer) are a plus.
- A challenging, innovating environment.
- Opportunities for learning where needed.
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