Company
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer. Skills: Data engineering, Cloud data platforms, Data modeling. Build data architectures. Maintain data architectures”
Industry & Context.
Analytical thought; Interpretative thinking
What They're Looking For.
Must Have
Advanced SQL skills, Data modeling techniques, ETL/data integration pipelines, Cloud-based data platforms
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Build data architectures
Maintain data architectures
Maintain data pipelines
Design data warehouses
Implement data warehouses
Develop processing algorithms
Develop analysis algorithms
Collaborate with data scientists
Build machine learning models
Deploy machine learning models
Define responsibilities
Plan department needs
Plan department operations
Contribute to pay decisions
Influence department operations
Ensure budgets meet requirements
Ensure schedules meet requirements
Demonstrate leadership behaviours
Create environment for colleagues
Guide technical direction
Identify need for specialisation
Provide information affecting profits
Provide information affecting risks
Provide information affecting decisions
Advise functional teams
Advise senior management
Demonstrate understanding of organisation functions
Contribute to business goals
Collaborate with other areas
Keep up with business activity
Keep up with business strategies
Develop innovative solutions
Adopt research outcomes
Include research outcomes
Maintain relationships
Maintain partnerships
Achieve business objectives
Use influencing skills
Use negotiating skills
How You'll Work.
Team & Collaboration
Agile teams; Functional leadership teams; Senior management
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile
Full Job Description
# **Job Description** **Purpose of the role** To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. **Accountabilities** * Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. * Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. * Development of processing and analysis algorithms fit for the intended data complexity and volumes. * Collaboration with data scientist to build and deploy machine learning models. **Vice President Expectations** * To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. * If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. * OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. Th
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