Principal Data Software Engineer (Databricks)
Office in Spain: Málaga, Spain: Madrid
Data Software Engineering
& 5 others
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We are looking for a Principal Data Software Engineer with experience and knowledge in Databricks and open-minded personality, who can join our friendly environment and become a core contributor to our team of experts.
Do you have background and wide experience in Data engineering and strong knowledge in Databricks? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Principal Data Software Engineer.
Responsibilities
- Design, develop, and maintain scalable data pipelines and robust data architectures
- Optimize data models and ETL processes specifically using Databricks and complementary technologies
- Implement rigorous data quality checks and monitoring systems to uphold high data integrity
- Keep abreast of emerging trends and technologies in data engineering, advocating for the integration of advantageous new tools
- Troubleshoot and efficiently resolve data-related issues
- Conduct code reviews to ensure adherence to high standards of code quality
- Drive technology initiatives, including technology designs, proof of concept, research and development
- Streamline project processes when necessary to promote excellence in data engineering practices
- Foster transparent, effective communication with team members and clients to justify and discuss technical solutions
Requirements
- Proven expertise in Spark (either using Scala or PySpark)
- Strong background in data architecture and data modeling, along with building ETL pipelines using Databricks
- Experience with multiple SDLC phases across various projects, and demonstrated technical leadership over complex implementations
- Proficiency in cloud-native technologies including containerization, and software engineering best practices like unit testing and linting
- Engineering background with one or more major cloud platforms: AWS, Azure, or GCP
- Skillful at performance optimization for data-intensive applications
- Keen follower of technological advancements with a knack for modernizing legacy systems
- Proven ability to present and advocate for technical solutions to stakeholders
- Independent problem solver comfortable with ambiguity
- Highly proactive with evident client-facing experience
- Fluent English communication skills with a minimum of B2+ level
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