Senior Specialist - Data Engineering

Responsibilities

• Design, build, and optimize robust ETL pipelines from diverse data sources
• Manage Azure data platforms using Infrastructure as Code (IaC) frameworks
• Develop modular and reusable Terraform components to automate deployments of Azure services
• Perform data wrangling and preparation for analytics using Power BI
• Manage relational and NoSQL databases, including Snowflake on Azure environments
• Collaborate with cross-functional and executive stakeholders to meet project deadlines

Requirements

• 10–12 years of relevant experience in data engineering or architecture
• Advanced expertise in Azure Data Lake, Azure SQL, and Azure Synapse Analytics
• Strong hands-on experience with Azure Data Factory (ADF) and SSIS
• Proven experience with Terraform scripting and managing IaC state files
• Deep knowledge of data modeling, metadata management, and data quality analysis
• Proficiency in SQL Server and Snowflake on Azure

Preferred Qualifications

• Experience with containerization and orchestration technologies such as AKS and Docker
• Knowledge of on-premises to cloud migration strategies
• Familiarity with data security, compliance, and governance in Azure environments
• Exposure to AWS or GCP for hybrid data solutions

About the Company

LTIMindtree is a global technology consulting and digital solutions company that helps enterprises transform through engineering and data-driven innovation.