Data Engineer – CoE

Job description / Role

Data Engineer is required to join a team of experts to work with industry-leading technology within fast growing eCommerce company, Dubai office.

- Data Engineer will work closely with stakeholders and Data Scientists.
- He/she will be responsible for the quality, development and performance of data pipelines.
- Data Engineer should be able to define the best way to ingest and aggregate required data and process it efficiently.
- Should have excellent communication, analytical and problem-solving skills.

Requirements

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 ‘big 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
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Qualifications:
- 4+ years’ experience in similar role
- MSc degree in Computer Science, Information Systems or another quantitative field

Requirements:
- Working with data pipelines and architectures
- Expertise with following management tools: Airflow, Luigi, etc.
- Experience with stream-processing systems: Hadoop/Spark-Streaming, Kafka / Flink
- Strong knowledge with scripting languages: Python, Java, Scala, etc.
- Strong knowledge with automation tools e.g. Docker, Kubernetes, Openshift
- Knowledge of search engines such as Elastic search
- Cloud platforms and services: AWS or Azure, or GCP
- Architecting on cloud computing environments (AWS, or Azure, or GCP)
- Security, authentication and authorization
- DevOps / DataOps and CI / CD frameworks

About the Company

Since 2010, our team has successfully placed some of the world’s finest graduate to mid and C-level talent in organisations across EMEA and APAC, and it all comes down to our niche approach and understanding of the market place, skill sets and trends.

From our offices in Dubai, Riyadh, London and Singapore, we run a sector specific operation. Meaning we specialise in your industry and are able to completely understand your vision, provide market insights and intelligence, and deliver the best talent to fit seamlessly into your operations.