Cloud DataOps Engineer (Fintech / Crypto) at Black Pen Recruitment

Industry: Financial Services

Job Description

• Are you an experienced Cloud DataOps Engineer? Are you looking for a remote job? Then we have the opportunity for you!
• As a Cloud DataOps Engineer you will be responsible for expanding and optimising data structures, the data pipeline architecture, and data collection for cross functional teams.
• You will guide and support our software developers and product team on business initiatives while ensuring optimal data delivery architecture is consistent.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery.
• Maintain and improve the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Team:

• Whether it’s working on a solo project or with the team, you are self-directed and comfortable supporting the needs of multiple teams, systems, and products.
• Exude an upbeat energy and enthusiasm each and every day to motivate your team to be the best they can be in every aspect of what they do.
• Celebrate the success of others by recognising the contributions of committed team members and their achievements.
• Align your values with the Mission, Vision and Values of our team.
• Be a role model for our organisational culture by creating a positive impact at every touchpoint with people, with every word you say or put in print and everything you do.
• Communicate in a fashion that is respectful and well understood.
• Collaborate with your peers to collectively think of innovative ideas that drive business through technology.
• Build and utilise working relationships with internal business partners across the organisation and external business contacts.

Requirements

• 5+ years of experience in a Data Engineer role, specifically in the cloud architecture space and preferably within Fintech.
• 5+ years of experience with relational SQL databases, of which 2-3 years should be experienced in nosql, preferably within Fintech.
• 2+ years of experience with object-oriented/object function scripting languages like Python.
• 2+ years of experience working with or understanding formal ETL tools.
• Knowledge of cloud based data products such as AWS Kinesis, AWS Glue, AWS Athena and AWS QuickSight, and the ELK stack.
• Excellent analytical and problem-solving skills to identify and assess risks, threats, patterns and trends.
• Excellent communication skills, including presentation skills, with an ability to communicate with a range of technical and non-technical team members and other relevant individuals.
• Time-management and organisational skills to manage a variety of tasks and meet deadlines.
• The ability to multitask and prioritise your workload.
• Excellent attention to detail.
• An ability to work under pressure, particularly when dealing with threats and at times of high demand.