Intermediate Data Engineer- (Remote)

Functieomschrijving

Intermediate Data Engineer, Data Processing and Archiving, SQL, Big Data Analytics, Big Data This is a great opportunity to work with an industry leading company in the finance sector. The role will be based at our headquarters in London. The ideal candidate will have strong experience of working on large scale data processing projects within the financial services sector. You'll need to be comfortable using Python and Java programming languages for both developing new products as well as supporting existing ones through enhancements or upgrades. Experience of MongoDB is also desirable but not essential. You should ideally have gained substantial experience building scalable solutions that leverage Apache Hadoop & Spark technology for managing massive volumes of data across different platforms (e.g., AWS). This includes your own original

Requirements

• Extensive understanding and application of Python Development and building complex solutions and applications.
• Extensive understanding and application of Python and data processing and transformation
• Strong understanding of Microsoft SQL Server and T-SQL Development
• Strong Understanding of Code Optimization
• Understanding of Real-Time Data Processing and Streaming
• Understanding of Apache Beam
• Advantageous
• Understanding of Apache NiFi and building complex workflows.
• Understanding of opensource streaming technologies (Apache Spark Streaming, Flink)
• Understanding of Apache Kafka
• Understanding of Apache Spark
• Understanding of Apache Hadoop
• Competency in Python and developing Spark models.
• Fundamental understanding of MongoDB
• Fundamental understanding of Redis
• Fundamental understanding of Databricks

Fundamental understanding and optimisation of Linux and cloud environments.

Key Performance Areas :

Job Related Experience :

Behavioural Competencies :

Qualifications

B Degree – Computer Science / Engineering

Hortonworks Certified