
Data Pipeline Architect
Há 2 dias
Job Title:
Senior Data Science ArchitectOur company is seeking a highly skilled Senior Data Science Architect to lead the design, development and implementation of our data pipeline architecture. The ideal candidate will have a strong background in data engineering and experience with big data technologies such as Spark and Scala.
Key Responsibilities:
- Design and develop scalable and efficient data pipelines using big data technologies.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Ensure data quality, consistency and governance across all layers of the architecture.
- Develop and maintain ETL processes for large-scale data ingestion, transformation and integration.
- Work closely with data analysts and BI teams to support business reporting and analytics.
Requirements:
- 5+ years of experience in data engineering or similar roles.
- Proven expertise in Spark (Scala) and Impala within big data environments.
- Strong experience with ETL design, implementation and optimization.
- Advanced knowledge of distributed computing and parallel processing.
- Solid understanding of data modeling and performance tuning.
- Familiarity with data governance, data quality frameworks and best practices.
- Excellent problem-solving skills and ability to work in agile, fast-paced environments.
- Strong communication skills in English (written and spoken).
Benefits:
- Competitive salary and benefits package.
- Opportunity to work with a cutting-edge technology stack.
- Collaborative and dynamic work environment.
- Professional development opportunities.
Why join us?
We are a forward-thinking company that values innovation and excellence. Our team is passionate about delivering high-quality solutions that meet the needs of our customers.
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