View Jobs at RelianceHMO |
Full Time |
Posted 4 years ago |
RelianceHMO is recruiting candidates for a Data Engineer.
JOB TITLE: Data Engineer
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JOB LOCATION: Gbagada, Lagos
JOB DETAILS:
- You’ll have a clear career path
- You’ll have a lot of independence in managing projects
- We have a vibrant and active culture
- Co-workers are a close-knit, intelligent, and motivated team
Key Responsibilities
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS Сbig data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Must Haves
- Experience building and optimizing big data data pipelines, architectures and data sets.
- Strong analytic skills related to working with unstructured datasets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
Some Perks and Benefits
- Daily meals
- Employee-friendly working conditions
- Generous health insurance package; including gym passes
- Modern, cosy and collaborative workspace.
APPLY NOW
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Job Features
Job Category | Engineering / Technical |
Deadline | 20th June, 2020. |
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