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Job Title: Big Data Consultant
Job Location: Remote
Job Duration: Long-Term

• Provide technology solutions that will solve business problems and strengthen our position as digital leaders in financial services
• work with our Finance Reporting team to translate business needs using Behavior Driven Development (BDD) into functional requirements. Key to ensuring a successful partnership will be the ability to understand the business impact, the underlying data requirements and calculations so that we ensure appropriate challenge and support.
• document key artefacts including functional specifications (with data/field/table specific information and clear rulesets), process flow documents, test strategy, test requirements and detailed task level plans (working with the scrum master to baseline).
• data model our Business requirements to ensure efficient design, data lineage, ownership and control
• design, plan and deliver sustainable solutions using modern programming languages
• provide technical expertise and recommendations in assessing new software projects and initiatives to support and enhance our existing applications

• software engineer/developer focused on developing reporting solutions within the finance sector
• intermediate understanding of Big Data tech: Spark / Databricks / Hadoop
• intermediate+ experience with Scala, Java (Spring), Python, SQL
• Cloud experience (Azure preferred). Specifically developing front to back cloud native solutions using Azure offerings (IaaS, PaaS, or containerized AKS deployments)
• experience in DevOps (Azure Devops, Gitlab CI/CD, IaC, Automating deployment, job scheduling, build chain)
• excellent communication skills and ability to work within a team environment
• strong experience in the Unix environment including shell scripting
• strong experience with data warehousing (Hands on SQL)
• familiar with SDLC and software development best practices, including version control
• Experience with Agile Methodology, Scrum Methodology and BDD
• design, plan and deliver solutions in a large-scale enterprise environment
• Bachelor's/Master's degree or equivalent with a focus in computer science or engineering