
Building Scalable Data Systems
1 semana atrás
We are seeking an experienced Senior Data Engineer to join our global team. The successful candidate will be responsible for designing and implementing data pipelines that drive business insights and inform strategic decisions.
- Develop complex data solutions to deliver actionable insights
- Design and implement scalable data products to improve the productivity of analytics and data science teams
- Mentor and coach data professionals on data standards and practices
The ideal candidate will have expertise in data architecture, data engineering, and data analysis, as well as experience working with cross-functional teams to develop technical architectures for strategic enterprise projects and initiatives.
Requirements- PhD in STEM field with research experience in Data Science or Post graduate degree in STEM field with 3-5 years experience as Lead Data Engineer
- Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
- Experience developing and maintaining data warehouses in big data solutions
- Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
- Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka
- Familiarity with the Linux operating system
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Passionate about Agile software processes, data-driven development, reliability, and experimentation
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