Jobs In Jumeirah Lake Towers

<p>Responsibilities</p><ul><li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li><li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines.</li><li>Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li><li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li><li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li><li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li><li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li><li>Engage in technology exploration and research, the development of PoC s, conducting deep investigations.</li><li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li><li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li><li>Work on Gen AI related initiatives aligned with the company goals.</li></ul><p>Required Technical Skills</p><ul><li>PySpark - Batch and Streaming</li><li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li><li>NoSQL (preferably MongoDB)</li><li>Programming languages: Scala/Python</li><li>Great Expectation, or similar DQ framework</li><li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li><li>Understanding of Data Governance, Data Warehousing and Data Modelling</li><li>Good SQL knowledge</li></ul><p>Business</p><ul><li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li><li>Proactively identify and contribute with team development initiatives, and supporting junior members</li></ul><p>Good to have skills</p><ul><li>Infrastructure-as-Code, preferably Terraform</li><li>Docker and Kubernetes</li><li>Looker</li><li>AI / ML engineering knowledge</li><li>Lineage, or relevant tools e.g. Atlan</li><li>DBT</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team</p><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b><span>Yassir</span></b><span> is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in </span><b><span>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</span></b><span>. It is backed (~</span><b><span>$200M in funding</span></b><span>) by VCs from Silicon Valley, Europe and other parts of the world. </span><br><span>We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. </span><br><span>Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.</span><br><br><p><b>Responsibilities </b></p><br><ul> <li>Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.</li> <li>Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components.</li> <li>Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.</li> <li>Work closely with the AI / ML team to enable AI use cases and in particular address data needs for Machine Learning model development and monitoring.</li> <li>Collaborate with cross-functional teams, including Data Analysts and other business users from Operations, Marketing and Commercial departments, to extract valuable insights and enable data-driven decision making.</li> <li>Collaborate with the Product teams to design, implement, and maintain the data models for analytical use cases.</li> <li>Engage in technology exploration and research, the development of PoC’s, conducting deep investigations.</li> <li>Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.</li> <li>Troubleshoot data issues and conduct root cause analysis when reporting data is in question.</li> <li>Work on Gen AI related initiatives aligned with the company goals.</li> </ul><br><p><b>Required Technical Skills</b></p><br><ul> <li>PySpark - Batch and Streaming</li> <li>GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage</li> <li>NoSQL (preferably MongoDB)</li> <li>Programming languages: Scala/Python</li> <li>Great Expectation, or similar DQ framework</li> <li>Familiarity with workflow management tools like: Airflow, Prefect or Luigi</li> <li>Understanding of Data Governance, Data Warehousing and Data Modelling</li> <li>Good SQL knowledge</li> </ul><br><p><b>Business</b></p><br><ul> <li>Able to communicate effectively, distill technical knowledge into digestible messages in a succinct / visual way</li> <li>Proactively identify and contribute with team development initiatives, and supporting junior members</li> </ul><br><p><b>Good to have skills</b></p><br><ul> <li>Infrastructure-as-Code, preferably Terraform</li> <li>Docker and Kubernetes</li> <li>Looker</li> <li>AI / ML engineering knowledge</li> <li>Lineage, or relevant tools e.g. Atlan</li> <li>DBT</li> </ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.</p><br> <p>Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.<br>Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.</p><br> <p>Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.</p><br> <p>CMA CGM Tunisia vous donne l’opportunité de soumettre votre candidature pour le poste <strong>Assistant(e) Documentation Import</strong>&nbsp;&nbsp;basé dans notre agence aux berges du Lac 1.</p><br> <p><span><strong>Mission : </strong></span>Assurer l'exécution et le suivi des activités Service Delivery Import afin de garantir la bonne préparation, le traitement et la clôture des escales.</p><br> <p><strong>Dans le cadre de vos missions, vous serez en charge de :</strong></p><br> <p><span>• Suivre quotidiennement le planning des navires, organiser le travail et préparer les escales Import TC et RORO.<br>• Assurer la gestion et le suivi des modifications des BLs.<br>• Coordonner avec l’équipe Manifeste le traitement des rectifications avant et après l’arrivée des navires.<br>• Effectuer la réconciliation avant déchargement.<br>• Suivre les statuts jusqu’à la clôture de l’escale.<br>• Coordonner avec l’équipe GBS pour les factures non éditées&nbsp;</span></p><br> <p><strong>Compétences personnelles :</strong></p><br> <ul> <li>Excellentes capacités d'organisation et de gestion des priorités.</li> <li>Grande rigueur et souci du détail.</li> <li>Bonnes aptitudes en communication et en coordination.</li> <li>Sens du service client.</li> </ul> <ul> <li>Capacité à travailler en équipe</li> </ul> <p>Come along on CMA CGM’s adventure !</p><br> </div>