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The project focuses on owning the end-to-end data flow for the client’s Data Analytics Platform (DAP). The platform ingests structured data (XML/JSON) into Azure Data Lake, orchestrates transformations using Azure Data Factory, and models curated data in Azure SQL Managed Instance with read-only replicas for reporting.
Job Responsibility:
Build and maintain ADF pipelines to ingest XML/JSON data into ADLS Gen2, including schema mapping, cleansing, and incremental loads
Design and optimize data models in Azure SQL Managed Instance (indexes, partitioning, read-only replicas)
Configure and test backup, geo-replication, and disaster recovery strategies (RPO/RTO)
Automate infrastructure and deployments using Infrastructure-as-Code and CI/CD pipelines
Provision and support datasets for self-service BI and reporting
Implement monitoring, alerting, and cost-optimization dashboards
Continuously tune platform performance, reliability, and cost efficiency
Requirements:
5+ years of experience designing and building data solutions on Microsoft Azure
2+ years of hands-on experience with ADLS Gen2 and Azure Data Factory (ADF v2)
Expert-level T-SQL skills and performance tuning on Azure SQL Managed Instance or SQL Server
Hands-on experience with Infrastructure-as-Code (Bicep or Terraform) and CI/CD
Proven experience with backup, geo-replication, and disaster recovery in Azure
Strong understanding of Azure security fundamentals
Experience with Azure Synapse Analytics
English level: B1+ (Intermediate) or higher
What we offer:
Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days