Data Engineer

Role Overview: • We are looking for an experienced Senior Data Engineer DataOps Engineer to build automate and support enterprise data platforms across Azure SQL Server and Snowflake ecosystems The role focuses on data onboarding migration automation platform engineering and operational excellence helping drive selfservice capabilities and scalable data solutions Key Responsibilities • Design and develop data ingestion transformation and migration solutions using Azure Data Factory ADF • Build reusable frameworks for data onboarding schema deployment validation and automated data movement • Develop and maintain ETLELT pipelines across SQL Server Azure Data Lake Storage ADLS and Snowflake • Administer SQL Server environments hosted on Azure VMs including security backuprecovery performance tuning and access management • Automate operational processes using SQLPythonPowerShell • Support database migrations upgrades and platform modernization initiatives • Implement data quality governance audit logging and security best practices • Enable selfservice onboarding capabilities and improve DataOps efficiency through automation and standardisation • Collaborate with business and technology teams to deliver scalable and reliable data solutions Essential Skills • Strong experience with Azure Data Factory ADF • Advanced SQL Server development and administration skills • Handson experience managing SQL Server on Azure Virtual Machines • Expertise in database migration performance tuning backuprecovery and security • Experience with Azure Data Lake Storage ADLS Azure Storage and Azure SQL • Strong SQL Python andor PowerShell scripting skills • Experience working with structured and semistructured data formats CSV JSON XML Parquet MDF BAK • Strong troubleshooting automation and problemsolving capabilities Desirable Skills • Snowflake data engineering or administration experience • Azure DevOps CICD and Terraform • Microsoft Purview exposure • Azure andor Snowflake certifications Skills Mandatory Skills : Azure Data Factory, AZURE DATA LAKE, Azure SQL, ETL Concepts, Snowflake