DATA ENGINEER JOB DETAILS | ADIDAS

Data Engineer   Purpose & Overall Relevance for the Organization.
Data engineer builds and optimizes the systems that allow perform proper analytics.
They are responsible for the accuracy of the data as well as making it accessible to individuals who need to work with it.
The data engineer ensures that any data is properly received, transformed, stored, and made accessible to other users.
Key Responsibilities.
Analytics  Undertakes analytical activities and delivers analysis outputs, in accordance with customer needs and conforming to agreed standards.
Specialist advice  Actively maintains knowledge in one or more identifiable specialisms.
Provides detailed and specific advice regarding the application of their specialism(s) to the organization's planning and operations.
Recognizes and identifies the boundaries of their own specialist knowledge.
Collaborates with other specialists, where appropriate, to ensure advice given is appropriate to the needs of the organization.
Emerging technology monitoring  Supports monitoring of the external environment and assessment of emerging technologies to evaluate the potential impacts, threats, and opportunities to the organization.
Contributes to the creation of reports, technology road mapping and the sharing of knowledge and insights.
Data modelling & design  Investigates corporate data requirements, and applies data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions).
Provides advice and guidance to database designers and others using the data structures and associated components.
Database design  Develops and maintains specialist knowledge of database and data warehouse concepts, design principles, architectures, software, and facilities.
Assesses proposed changes to object/data structures, to evaluate alternative options.
Implements physical database designs to support transactional data requirements for performance and availability.
Implements data warehouse designs that support demands for business intelligence and data analytics.
Programming/software development  Designs, codes, verifies, tests, documents, amends, and refactors complex programs/scripts and integration software services.
Contributes to selection of the software development approach for projects, selecting appropriately from predictive (plan-driven) approaches or adaptive (iterative/agile) approaches.
Applies agreed standards and tools, to achieve well-engineered outcomes.
Participates in reviews of own work and leads reviews of colleagues' work.
Testing  Reviews requirements and specifications and defines test conditions.
Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes.
Analyses and reports test activities and results.
Identifies and reports issues and risks associated with own work.
Data  management   Assists in providing accessibility, retrievability, security and protection of data in an ethical manner.
If required.
People Management / Resource Management.
May be involved and gives some input on hiring Transition decisions  Ensures appropriate leadership skills are present at every level through creating a motivational and supportive work environment in which employees are coached, trained, and provided with career opportunities through development  Allocates the different work to the respective employees considering experience, complexity, workload, and organizational efficiency   Requisite Education and Experience / Minimum Qualifications.
Four-year college or university degree with focus on Business Administration or IT or related areas, or equivalent combination of education and experience Proficient spoken and written command of English At least 5+year experience in IT Must have experience in relevant area Pyspark, SQL, AWS & Databricks.