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The Clorox CompanySenior Data Engineer
Senior Data Engineer at Clorox developing cloud - based data solutions. Leading data engineering projects and collaborating with business stakeholders to optimize data flows.
About the role
- Design, develop, and maintain data pipelines and data infrastructures that support analytics and BI
- Collaborate with senior data engineers, product managers, developers, and stakeholders to gather requirements and deliver data solutions
- Review technical designs, troubleshoot complex data issues and provide technical solutions
- Maintain data infrastructures including databases, data warehouses and data lakes to ensure availability, reliability and performance
- Provide support in designing data models and implementing scalable data architectures
- Facilitate adoption and implementation of Agile methodologies within the Data team
- Collaborate cross-functionally with product management, marketing, engineering, data scientists and analysts
- Provide mentorship and guidance to junior data engineers
- Support research initiatives, competitive analysis, monitor and evaluate performance of strategic initiatives
- Drive continuous improvement and innovation in data management practices
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field
- Relevant certifications in data engineering or cloud platforms (preferred)
- 5+ years of relevant working experience
- 3-5 years of experience in data engineering or a similar role
- Expertise in designing and implementing scalable data pipelines and data infrastructures
- Experience in architecting and optimizing data solutions
- Experience of working in a dynamic, fast-paced environment
- Proficiency in programming languages such as Python, Java, or Scala
- Proficient in using design software (e.g.: Figma and other tools)
- Strong understanding of data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka)
- Proficiency in using version control systems and building CI/CD pipelines
- Strong understanding of data modelling, ETL processes and data integration techniques
Benefits
- Living an Inspired Life programme
- Inspired Rewards (referenced brochure)
- MTN Software Solutions culture and development resources
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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