Azure Data Engineer at IDC Technologies
IDC Technologies · Remote / Hybrid · Posted today
About this role
IDC Technologies is seeking an experienced Azure Data Engineer with 8-12 years of expertise to design, develop, and maintain scalable data solutions on the Azure cloud platform. You will work with Azure Data Factory, Databricks, and Azure Synapse Analytics to build robust ETL/ELT pipelines and data warehousing solutions. This role offers the opportunity to work on complex data architecture projects while collaborating with cross-functional teams in a hybrid work environment.
Skills required
Key responsibilities
Design and implement Azure Data Factory pipelines for ETL/ELT processes using PySpark and Python
Develop and optimize data warehousing solutions using Azure Synapse Analytics and Delta Lake
Manage Azure Data Lake Storage Gen2 and Microsoft Fabric for large-scale data processing
Implement CI/CD pipelines using Azure DevOps for automated data solution deployments
Collaborate with data scientists and business analysts to translate requirements into scalable data architectures
About IDC Technologies
IDC Technologies is a leading IT solutions and services company specializing in cloud infrastructure, data engineering, and enterprise transformation. The company fosters a culture of innovation and continuous learning, empowering engineers to work on cutting-edge technologies and deliver impactful solutions to global clients.
Why you should apply
Work with cutting-edge Azure cloud technologies including Data Factory, Synapse Analytics, and Microsoft Fabric
Enjoy flexible remote and hybrid work arrangements while solving complex data engineering challenges
Opportunity to lead client-facing projects and mentor junior team members, accelerating your career growth
Interview preparation tips
Prepare detailed examples of Azure Data Factory pipelines you have built, focusing on performance optimization and error handling
Be ready to discuss your experience with Databricks and PySpark, including complex transformations and distributed computing challenges
Demonstrate knowledge of data warehousing best practices and explain how you would design a schema for a specific business scenario
Discuss your CI/CD implementation experience with Azure DevOps and how you ensure data quality in automated pipelines
Highlight any experience with Spark Structured Streaming or cloud migration projects to stand out as a candidate
Career growth path
Ready to apply?
Keep your updated resume, transcripts, and cover letter ready before you start the application.
Apply via Email: [email protected]
Check the official careers page for deadline and instructions
Frequently asked questions
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Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.
