π₯ Direct to Recruiter Β· No MiddlemenPosted 1h ago
Preety Srivastava Priti
HR Professional , Talent Acquisition, Tech Sourcer, Sr. Technical Recruiter, IT Recruiter, Recruitment consultant , ATS, Application Tracking System, Global Talent Acquisition
Azure Data Engineer
π RemoteπΌ Freelance Project
π₯ UrgentMidAzure Data FactoryAzure Data Lake StorageAzure SynapseSnowflakeMatillion
Original Post
Hello
We have an urgent requirement for Azure Data Engineer, remote. Please share profiles at [Upgrade to PRO to see contact] as soon as possible.
Job Title: Azure Data Engineer
Location: Remote
Role Overview
We are looking for a hands-on Azure Data Engineer to design and build scalable data pipelines and platforms on Azure.
This is a core engineering role focused on building reliable, high-performance data solutions across cloud and modern data platforms.
Key Responsibilities
Design, build, and maintain scalable data pipelines using Azure data services
Develop and orchestrate ETL/ELT workflows using Matillion and Azure-native tools
Work with large-scale datasets across data lakes and data warehouses
Optimize Snowflake environments for performance and scalability
Implement batch and near real-time data processing pipelines
Collaborate with cross-functional teams to support data integration and analytics needs
Ensure data quality, consistency, and reliability across pipelines
Troubleshoot and resolve data-related issues in production environments
Required Skills & Experience
Strong hands-on experience with Microsoft Azure data services including Data Factory, Data Lake Storage, and Synapse
Expertise in Snowflake including schema design, performance tuning, Snowpipe, Streams, and Tasks
Proficiency in Matillion for building and orchestrating ETL/ELT pipelines
Strong experience with Azure Databricks and distributed data processing using PySpark
Advanced programming skills in Python and strong SQL querying and optimization skills
Solid understanding of data architecture including data warehouse, data lake, and lakehouse models
Experience designing scalable and high-performance data pipelines for batch and near real-time processing
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Thanks & Regards
Preety Srivastava
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