D&T Manager - Platform Engineer Job at Aramex Logistics

Aramex is hiring for the role of D&T Manager - Platform Engineer!

Responsibilities of the Candidate:

• Proactively engage with internal customers within the Technology division and other parts of the business to understand their complex requirements for data and aspired outcomes.
• Leverage data management platforms to deliver capabilities that can analyze customer behavior, preferences, and trends, providing actionable insights to enhance customer experience and satisfaction.
• Design scalable and extensible data architectures to support current and future data needs.
• Work closely with cross-functional teams, including data engineers, data scientists, business analysts, and IT, to deliver comprehensive analytics and AI solutions.
• Mentor junior team members, sharing knowledge and expertise to develop their skills and enhance the overall capability of the data team.
• Maintain effective working relationships with the business stakeholders and the rest of the IT team. 
• Develop data sourcing and ingestion models to collect, validate, and integrate data from diverse sources into our data ecosystem.
• Design, build, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of data.
• Architect and manage data storage solutions including relational databases, NoSQL databases, data lakes, and object stores.
• Develop and implement monitoring solutions to track data pipeline health, performance metrics, and resource utilization
• Ensure that data solutions deliver measurable business value and return on investment.
• Optimize data processing workflows, database queries, and storage configurations for cost efficiency and resource utilization.
• Track and report on key performance indicators (KPIs) related to data engineering initiatives to demonstrate impact and value to stakeholders

Requirements:

• Demonstrated experience in data architecture design, data modeling, and database technologies (SQL, NoSQL)
• Expertise in managing and administering relational databases (SQL) and NoSQL databases (e.g., MongoDB, Cassandra) to store and retrieve data efficiently.
• Strong understanding of distributed computing principles, parallel processing, and cluster management.  
• Experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam.
• Hands-on experience with cloud-based data technologies such as Amazon S3, Azure Data Lake Storage, Google Big Query, or similar
• In-depth knowledge of big data technologies and frameworks for distributed computing and data processing, including Hadoop, MapReduce, and Spark