Data Operations Consultant

le contenu du travail

At ProCogia we’re passionate about developing data-driven solutions that provide highly informed answers to our clients’ most critical challenges. Our projects are varied, from Data Warehouse builds, deploying Cloud Data Solutions, Dashboarding, & building predictive models. You may be involved in all stages of the project life cycle, from Data Engineering / Integration to building pipelines & right through to advanced analytics.

We work with industry leading clients from various sectors including Pharmaceuticals, Telecommunications, Technology, Financial Services & Retail. Our work environment ensures opportunities to gain valuable experience in various industries enhancing your personal & career development.

ProCogia has doubled in size over the last two years & core to ProCogia’s culture is ensuring we maintain a balanced male to female ratio. Our diversity, and differences allow us to create innovative and effective solutions for our clients.

Job Description

The Data Operations Consultant contributes to towards ProCogia’s mission to enable our customers to make intelligent and agile decisions through strategically tailored data solutions. The Data Operations Consultant works with our customers to design, build, configure, manage and scale the infrastructure needed to perform data analytics and data science at scale. The Data Operations Consultant utilizes best practices in CI/CD, container orchestration and Quality Assurance to ensure that data infrastructure is robust and scalable to meet the needs of its users and has clear, concise documentation.

The ProCogia Mission

ProCogia aims to empower organizations to achieve sustainable advantage through data.

We enable our customers to make intelligent and agile decisions through strategically tailored data solutions. We attract, develop and retain diverse, motivated and collaborative team players who love what they do.

Responsibilities

The Data Science Consultant has the following responsibilities and duties:

• Consult with key stakeholders to understand requirements.
• Plan out work in an agile framework, taking part in internal daily scrum meetings and other agile activities as adopted by the team.
• Design, build and test solutions to customer problems in a robust manner.
• Dockerize applications and utilize container orchestration software such as Kubernetes to achieve the necessary scale and robustness of the infrastructure.
• Design, implement and monitor dashboards and alerts for the health of data infrastructure
• Ensure that data infrastructure is well designed and documented.
• Design and test solutions in development environments before migrating tested solutions to the production environment
• Ensure security and other customer expectations are met and exceeded.
• Actively take part in and contributes to key customer facing meetings.
• Be a thought leader, understanding customer problems and proposing solutions that most effectively solve them.
• Keep up to date with best practices and continuously seeks to learn new skills.
• Validate new skill development through pursuit of relevant certifications.
• Contribute towards the growth of the business by observing opportunities for upselling or cross-selling within the customer organization.
• Contribute to development of the delivery team and their practice area through participating in internal TED talks, mentoring junior team-mates and developing reusable training materials and standard operating procedures.
• Contributes to the broader business through involvement in recruiting, marketing and sales activities.
• Contribute to the overall collaborative and innovative culture of the company by taking part in group events and spearheading initiatives that grow the company and help make life at ProCogia more enjoyable for all.
  
  

Requirements

The Data Analytics Consultant should have the following skills, education and experience:

Skills

• Python, Scala or other Development Tool
• Docker
• Kubernetes
• Dashboarding for Monitoring Infrastructure Health (Grafana preferred)
• CI/CD tools such as Jenkins or Cloud Native Tools
• Strong Networking Knowledge
• Cloud Technology (AWS preferred)
• Command Line Scripting in Unix like systems
• Solutions Architecting with diagramming tools
• Experience setting up and managing data infrastruture tools such as RStudio Teams, Jupyter, Zeppelin, Databricks etc.
• Big Data Tools such as Kafka, Hadoop and Spark
• Designing, implementing and configuring Clusters for Data Products (Spark and Hadoop).
• Utilization of Cluster Management software (Mesos, Yarn etc)
  
  

Education

• Required:
• Bachelors in computer science, software/computer engineering, mathematics or related degree
• Preferred:
• Masters or PhD in computer science, software/computer engineering, mathematics or related degree.
  

Experience

• An experienced professional will have at least 3 years of professional experience in a data related role with a Masters Degree or 5 years of experience in a data related role with a Bachelors degree.
  
  

ProCogia is proud to be an equal opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.