Senior Python Developer (SQL & Cloud)

• *Project Description (VR-121806)**

Join our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.

You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client.

On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

• *Responsibilities
• Develop and maintain Python-based applications and data pipelines.
• Data Sourcing: Extract data from diverse repositories including relational databases (Oracle, PostgreSQL), NoSQL stores, file systems, and other structured/unstructured sources.
• Data Transformation: Design and implement ETL/ELT workflows to standardize and cleanse data using best practices in data engineering.
• Pipeline Development: Build scalable, fault-tolerant data pipelines that support batch and streaming use cases.
• Design and implement cloud-native solutions using GCP services such as BigQuery, Cloud Functions, Cloud Storage
• Data Format Expertise: Work with various data formats including JSON, CSV, and others.
• Optimization & Monitoring: Ensure performance, reliability, and cost-efficiency of data pipelines through continuous monitoring and tuning.
• Ensure code quality through unit testing, code reviews, and adherence to best practices
• Document technical designs, processes, and configurations
• Collaboration: Work closely with data architects, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
• *Qualifications
• Proficiency in Python with experience in building scalable applications
• Knowledge of microservices and architecture patterns
• Strong SQL skills, including query optimization and data modeling
• Hands-on experience with Cloud services (ideally GCP: BigQuery, Cloud Functions, Cloud Storage, etc.)
• Familiarity with CI/CD pipelines and version control (Git)
• Familiarity with data modeling, schema design, and metadata management.
• Understanding of data warehousing concepts and ETL processes