Description

You build and maintain data systems to power advanced analytics for network security and operational efficiency.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines ensuring data quality and availability.
• Implement monitoring and alerting solutions for data pipeline reliability and performance.
• Develop and manage deployment pipelines for continuous integration and delivery of data solutions.
• Integrate data from diverse sources, including APIs, flat files, and relational databases, to support analytics.
• Execute the complete analytics lifecycle, covering model prototyping, validation, and data exploration.

Required Skills

• Proficiency in Python and expertise in data engineering languages like Scala or Java.
• Experience with BigData tools, specifically Spark.
• Expert-level quantitative analysis skills, including model result interpretation.
• Strong understanding of SQL and experience with relational and NoSQL databases.
• Solid theoretical foundation in Machine Learning and Graph/Network Analytics.
• Experience building and managing ETL pipelines.
• Familiarity with data warehousing and data marts concepts.
• Ability to work in compiled, high-performance languages (Scala, Java, C++).

Preferred Skills

• Experience with AWS.
• Familiarity with Linux-based operating systems.

Key Skills

Education

Not specified