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Job Summary

Work as part of an integrated (run & build) tribe in lower complexity environments to
provide enterprise wide application support across multiple stakeholder groups by
maintaining & optimizing enterprise-grade applications (tech products & services).

Job Description

Data Engineering is responsible for the central data platform that receives and distributes data across the bank. This is a multi-platform environment and leverages a blend of custom, commercial and open-source tools to manage and support thousands of critical data-related jobs. These jobs are supported and updated in line with changes across the landscape to avoid disruption to downstream data consumers.

Responsibilities

• Manage an assigned team through day-to-day support tasks

• Oversee development plans for the team and provide mentorship to the team

• Provide guidance and peer review

• Support pipelines end to end

• Build and deploy enhancements and new developments or new data pipelines

• Identify and drive optimisation opportunities across the environment

• Manage the handover of new applications ensuring that required standards and practices are met

• Improvement on recovery time in case of prod failures

• Test prototypes and oversee handover to the Data Operations teams

• Attend and contribute to regular team and User meetings

• Responsible for the actual coding or programming of Hadoop applications • High-speed querying

Job Experience & Skills Required:

• 3+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka

• Minimum one year experience with Scala programming language

• Minimum one year experience managing a team

• Cross domain knowledge

• Familiarity with Hadoop ecosystem and its components

• Good knowledge of the concepts of Hadoop

• Solid experience in a working environment in Big Data development utilising SQL or Python

• Experience in Big Data development using Spark

• Experience in Hadoop, HDFS and MapReduce

• Experience in database design, development and data modelling

The following additional knowledge, skills and attributes are preferred:

• Good knowledge in back-end programming, specifically java

• Experience with development in a Linux environment and its basic commands

• Understanding of Cloud technologies and migration techniques

• Understanding of data streaming and the intersection of batch and real time data

• Ability to write reliable, manageable, and high-performance code

• Should have basic knowledge of SQL, database structures, principles, and theories

• Knowledge of workflow/schedulers

• Strong collaboration and communication skills

• Strong analytical and problem-solving skills

• Experience in Quality Assurance

• Experience in Stakeholder Management

• Experience in Testing

Education

Bachelor’s Degree: Information Technology