For a multinational-based organization developing products in the field of finance, with offices in the center.
To work with our dedicated data scientists, financial analysts, and other developers to plan, explore and develop dedicated data applications that will be key products used in the analysis of different financial sectors, all as part of our committed effort to make data science and AI solutions part of the company's financial research framework, including:
Designing and implementing robust production-level applications of predictive models, analytics dashboards, anomaly detection, correlations and more; Performing data analysis, i.e., loading, exploring, transforming, and visualizing diverse data (using SQL, Python, Scala, K); Working across multiple data sources, over different technologies and data platforms.
Requirements:
B.Sc. in Computer Science / Engineering.
At least 7 years experience programming in Python / Java / Scala.
At least 3 years experience developing data-oriented applications.
Background in distributed computing (Spark, MapReduce, etc.) and distributed file systems (e.g., Hadoop, S3, etc.).
Demonstrable working knowledge of SQL, NoSQL, ETLs and BI tools and products.
Extensive experience with at least one of the following: Hadoop ecosystem / Mongo / Casandra / Redis / Hive / Impala / Storm / etc.
Experience working in a Linux environment and scripting in Bash .
Independent and highly-motivated self-learner.
Excellent communication skills and proven experience working in distributed teams.
Good coding, documentation and design practices.