Data Engineer

Were seeking a Database Engineer with strong expertise in SQL, Azure Data Factory, and data architecture design. The ideal candidate combines database administration, ETL pipeline development, API integration, and automation skills to build scalable, cloud-based data solutions.

Key Responsibilities

• Design and optimize SQL databases - stored procedures, indexing, and performance tuning.
• Build and maintain ETL/data pipelines using Azure Data Factory, SSIS, or Databricks.
• Integrate data from APIs (ServiceNow, Salesforce, Workday, etc.) using JSON/XML and authentication methods (OAuth2, Tokens).
• Automate tasks with PowerShell or Python, manage pipelines via Git/Azure DevOps.
• Architect data flow from staging → silver → gold layers for analytics (Power BI/Tableau).
• Migrate databases from on-prem to Azure (IaaS/PaaS) and manage backups, scaling, and cost optimization.
• Implement HA/DR strategies, validation, and monitoring for data reliability.
• Support multi-client environments, ensuring compliance with SOC2/FedRAMP standards.

Required Skills

• 4+ years’ experience in SQL DBA / Data Engineering / Data Architecture.
• Strong in T-SQL, ADF, ETL, and data modeling.
• Hands-on with Azure SQL, Managed Instance, and Synapse.
• Familiarity with REST/SOAP APIs, PowerShell/Python, Git/Azure DevOps.
• Understanding of ITSM tools (ServiceNow preferred) and operational metrics (MTTR, SLA, FCR).

Preferred

• Microsoft Azure certifications (DP-203 / DBA Associate).
• Exposure to Microsoft Fabric (OneLake, Lakehouse, Data Factory) and AI-based automation.
• Experience in MSP or enterprise multi-source environments.