Senior Data EngineerVerified as a real position
Msd
Czechia, Central Bohemian - Prague (Five)11 days ago
- Posted
- Employment type
- Full-time
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Data EngineeringSeniorAWS / Spark / DatabricksPython / SQLPraha + hybridVISA sponsorství
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Who we’re looking for
- Strong expertise in SQL, Python, and Apache Spark
- Extensive hands-on experience with Apache Airflow
- Deep experience with AWS cloud services
- Strong experience building solutions on Databricks platform
- Proven experience in data architecture, modeling, and big data systems
- Experience leading engineering teams and projects
- Strong analytical, problem-solving, and communication skills
What you’ll do
- Lead the design and implementation of end-to-end data engineering solutions
- Architect and optimize large-scale data pipelines using Spark, Python, and SQL
- Design and manage orchestration frameworks using Apache Airflow
- Build scalable and cost-efficient solutions on AWS ecosystem
- Drive development and optimization of Databricks-based data platforms
- Establish best practices for data engineering, coding standards, and governance
- Mentor and guide data engineering teams
- Collaborate with cross-functional stakeholders to deliver business value
- Implement and drive CI/CD practices , including GitHub Actions
- Ensure data platform scalability, performance, and reliability
About the position
We are seeking an experienced Data Engineer to architect, build, and lead scalable data platforms. This role requires strong hands-on experience in AWS, Spark, Databricks, and Airflow , along with technical leadership capabilities to guide teams and establish best practices.
Benefits
- VISA Sponsorship: Yes
- Flexible Work Arrangements: Hybrid
- Travel Requirements: 10%