Summary
techcarrot is hiring a Data Engineer in Dubai, United Arab Emirates. The role involves designing and building robust, reusable data pipelines with the Microsoft Azure and Databricks stack, and supporting the integration of prototypes into intelligence products. Responsibilities also include contributing to feature definition, preparing weekly project status reports, developing detailed project plans, and communicating data insights to non-technical stakeholders. Applicants should have a relevant bachelor’s degree, 5–7 years of practical experience, and in-production Azure cloud experience.
The posting
As published on techcarrot.ae. Pulled from the employer's site and shown as they wrote it.
Collect progress updates from Squad on a regular basis. Consolidate updates into weekly project status reports and share with the Squad Leads for their review. You participate in early state design and feature definition activities. Responsible for implementing robust data pipeline using Microsoft, Databricks Stack Responsible for creating reusable and scalable data pipelines. You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products. You have strong communication skills to effectively convey complex data insights to non-technical stakeholders. Develop and manage L3-level project plans with sufficient details for tasks, milestones, and dependencies Requirements Skills: Knowledge and experience with relational and non-relational databases. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong proficiency in building JIRA dashboards based on tasks. Strong experience in Project Management will be considered as an additional advantage. Azure DevOps experience to deploy the data pipelines through CI/CD. Qualifications and Experience: Minimum 5-7 years of practical experience. Bachelor’s degree in computer science, software engineering, information technology, or a related field. Azure cloud stack in-production experience.