Randstad MENA Recruitment Drive:
Randstad MENA is hiring an experienced Azure Data Engineer in Pune, Maharashtra. This permanent role involves designing, developing, and maintaining data processing platforms on Azure to empower business partners, vendors, and customers with actionable insights. If you have expertise in Azure Data Services and want to work with a global leader, apply now! Visit Kaabil Jobs for more details on this career opportunity with Randstad MENA.
Overview
• Job Position: Azure Data Engineer
• Job Location: Pune, Maharashtra, India
• Type: Full-Time, Permanent
• Experience Required: Minimum 7 years in Data and Analytics, 3 years with Azure Cloud Services
• Application Channels: LinkedIn
Qualifications
• Bachelor’s degree in Computer Science
• Minimum 7 years of experience in data integration, data ingestion, and data analytics
• At least 3 years of experience with Azure Cloud Services, Azure Data Factory, Synapse Analytics, and Azure Analysis Services
• Relevant certifications in data and analytics are a plus
Skills Required
• Strong expertise in Azure Data Services (PaaS & IaaS)
• Experience in data warehousing, T-SQL queries, ETL/ELT processes, and reporting tools like Power BI
• Familiarity with Azure DevOps for version control, tracking, and logging
• Proficiency in designing cloud-based solutions in Azure, including SQL databases, Elastic pools, and tabular models
• Strong analytical and problem-solving skills with experience in query optimization and performance tuning
Roles and Responsibilities
• Develop Synapse Pipelines: Ingest data from multiple sources and ensure data accuracy and integrity through quality checks.
• Optimize and Automate Processes: Identify and implement improvements, automate manual processes, and enable timely data delivery.
• Monitor Operations: Track resource utilization, task completion, and failure rates, ensuring high availability and disaster recovery compliance.
• Document and Maintain Processes: Produce documentation for data models, transformations, and business rules to support future maintenance and troubleshooting.
• Collaborate Across Teams: Work closely with cross-functional data intelligence teams and provide support for IT compliance audits.
Job Description Brief:
The Azure Data Engineer role at Randstad MENA is a dynamic position that requires a deep understanding of Azure Data Services. You will design and manage a scalable data platform, integrating data across the organization to generate insights for business partners and customers. This is a challenging opportunity to lead Azure-based projects that drive data strategy and ensure the data infrastructure aligns with best practices.
Job Description:
• Position: Azure Data Engineer
• Location: Pune, Maharashtra, India
• Type: Permanent, Full-Time
• Department: Data Engineering and Analytics
• Key Responsibilities:
• Develop, monitor, and maintain data pipelines in Azure Synapse.
• Conduct data validation to uphold data accuracy and integrity.
• Document processes and improve existing workflows for enhanced scalability.
How to Prepare for an Azure Data Engineer Interview at Randstad MENA?
Important Interview Preparation Tips
• Brush Up on Azure Data Services: Review Azure Data Factory, Synapse Analytics, and Azure Analysis Services.
• Problem-Solving Examples: Be ready to share specific scenarios where you optimized data processes.
• Technical Communication Skills: Prepare to explain complex technical concepts clearly and concisely.
• Data Governance Knowledge: Understand data compliance and security measures, including high availability and disaster recovery.
Study Material for Azure Data Engineer Interview
1. Books:
• “Azure Data Factory Cookbook” by Dmitry Anoshin
• “Microsoft Azure Data Solutions” by Zoiner Tejada
2. Top Online Courses:
• Azure Synapse Analytics Foundations (Microsoft Learn)
• Advanced Data Engineering on Microsoft Azure (Coursera)
3. Websites:
• Microsoft Documentation (docs.microsoft.com) for Azure services
• Databricks for data engineering best practices
Technical Questions and Answers for Azure Data Engineer Interview
1. How would you optimize a slow-running data pipeline in Azure Synapse?
Answer: I would analyze the pipeline to identify bottlenecks, optimize queries, and ensure resource allocation is efficient. For instance, I might use partitioning or caching to reduce processing time.
2. Explain the difference between ETL and ELT processes.
Answer: In ETL, data is transformed before loading it into the destination, whereas in ELT, data is first loaded into the destination and then transformed, often allowing for better scalability in cloud environments.
3. Describe your experience with query optimization.
Answer: I’ve worked on optimizing complex T-SQL queries by indexing, using appropriate joins, and breaking down large queries into smaller, more manageable chunks to improve performance.
Non-Technical Questions and Answers for Azure Data Engineer Interview
1. Why do you want to work at Randstad MENA?
Answer: I am drawn to Randstad MENA’s focus on innovation and its commitment to using technology to create impactful solutions. This aligns with my career goals and passion for data engineering.
2. How do you handle challenging project deadlines?
Answer: I prioritize tasks based on impact, communicate proactively with stakeholders, and break down complex tasks to ensure steady progress.
3. What motivates you to work in data engineering?
Answer: I enjoy transforming raw data into actionable insights that drive business decisions. Data engineering allows me to use technology creatively to solve complex problems.
Azure Data Engineer 7+ years Pune, Maharashtra Bachelor’s in Computer Science Randstad MENA
Use the provided links to apply on LinkedIn Good luck with your application!