Data Optimisation and Operations Engineer
HP
- Bogotá DC
- Temporal
- Tiempo completo
- Catalogue all data assets against their intended consumption and release cycles;
- Ensure that the metrics are optimized for defining, measuring, and auditing the value of the data lifecycle against their ROI and intended consumption by the analysts, BI, and data scientce teams;
- Collaborates with DS/ DA to understand and create processes and quality-based measures across data delivery and data quality and provide inputs to data engineering, knowledge engineering, and process engineering teams;
- Create escalation-based matrix and handle bugs as Level one escalations and do household management of data assets;
- Be able to bring maturity lifecycles in data lifecycle and consumption;
- Work on delivering these solutions hands on.
- Bachelor's or Master's degree in Industrial Engineering;
- Typically 3-4 years of experience;
- Strong understanding of descriptive and inferential statistics and/ or six sigma methodology;
- Knowledge about data engineering tools, languages, frameworks to cleanse, mine and explore data;
- Understanding of relational based systems and data architectures like fact and dimension tables;
- Experience with complex, distributed and massively parallel systems;
- Confidence in R or Python for statistical based reporting;
- Process mapping skills;
- Understanding of database technologies, management systems, and cloud-based systems/services;
- Understanding of database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools;
- Strong communication skills;
- Ability to effectively communicate design proposals and negotiate options.
- Best in class technologies;
- Diverse learning opportunities;
- Super collaborative environment and international experience.