Senior Data Engineer – (6 to 8 yrs exp)

Landmark Group; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading retail and hospitality firm in Dubai is seeking an experienced Azure Data Engineer with 6-8 years in data solutions. The role requires expertise in ETL processes, data modelling, and integration, with proficiency in Python, SQL, and Azure technologies. Responsibilities include optimizing data strategies, collaborating with cross-functional teams, and driving innovation through data analytics. Join this dynamic team to shape the organization's data-driven journey while engaging with advanced technologies.

Qualifications

• 6-8 years of experience as an Azure Data Engineer.
• Proficiency in data programming languages like Python, SQL, or Scala.
• Experience with ETL pipelines using Azure Data Factory.

Responsibilities

• Design and optimize data solutions as an Azure Data Engineer.
• Collaborate with teams to provide data-driven insights.
• Monitor and troubleshoot data platform performance.

Skills

Python

SQL

Scala

ETL with Azure Data Factory

Data Governance

Data Modelling

Data Warehousing

Data Integration

Azure Databricks

Azure Synapse Analytics

PowerBI

Qlik

Azure DevOps

Tools

Azure Data Lake

Azure SQL Database

Data API builder

Logic Apps

Job description

Experience Range – 6 to 8 years

• Responsible for the design, implementation, and optimization of data solutions as an expert Azure Data Engineer with 6-8 years of experience.
• Proficiency in programming languages like Python, SQL, or Scala for data manipulation, transformation, and analysis.
• Expertise in data modelling, data warehousing, and data integration concepts.
• Sound knowledge of data governance practices, data quality management, and data security principles.
• Develop efficient ETL pipelines using Azure Data Factory and ensure data quality and storage via Azure Data Lake.
• Utilize proficiency in complex stored procedures within Azure Databricks to enable advanced analytics on data volumes exceeding 50TB.
• Collaborate cross-functionally to contribute to data-driven initiatives, leveraging Azure Synapse Analytics to provide actionable insights.
• Apply deep understanding of the retail domain to enhance data strategies and solutions for retail‑specific challenges.
• Play a pivotal role in shaping the organization’s data‑driven journey, driving innovation through data analytics and insights.
• Optimize data storage, processing, and retrieval mechanisms for performance, cost, and scalability using services such as Azure Data Lake Storage, Azure SQL Database, Azure Databricks, Azure Synapse, PowerBI, Qlik, Data API builder, logic apps, etc.
• Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for continuous improvement.
• Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps, PowerShell, or other relevant tools.
• Stay up‑to‑date with the latest trends and advancements in cloud data services and provide recommendations on adopting new technologies or features to enhance the data platform.
• Document technical designs, procedures, and guidelines for data platform engineering and operations.