Data Engineer

Overview

MIC Global is a full-stack micro-insurance provider, purpose-built to design and deliver embedded parametric micro-insurance solutions to platform companies. Our mission is to make insurance more accessible for new, emerging, and underserved risks using our MiIncome loss-of-income products, MiConnect, MiIdentity, Coverpoint technology, and more — backed by innovative underwriting capabilities as a Lloyd’s Coverholder and through our in-house reinsurer, MicRe.

We operate across 12+ countries, with our Global Operations Center in Bangalore supporting clients worldwide, including a leading global ride-hailing platform and a top international property rental marketplace. Our distributed teams across the UK, USA, and Asia collaborate to ensure that no one is beyond the reach of financial security.

About The Team

We're seeking a mid-level Data Engineer with strong DBA experience to join our insurtech data analytics team. This role focuses on supporting various teams including infrastructure, reporting, and analytics. You'll be responsible for SQL performance optimization, building data pipelines, implementing data quality checks, and helping teams with database-related challenges. You'll work closely with the infrastructure team on production support, assist the reporting team with complex queries, and support the analytics team in building visualizations and dashboards.

Key Roles And Responsibilities

Database Administration & Optimization

• Support infrastructure team with production database issues and troubleshooting
• Debug and resolve SQL performance issues, identify bottlenecks, and optimize queries
• Optimize stored procedures, functions, and views for better performance
• Perform query tuning, index optimization, and execution plan analysis
• Design and develop complex stored procedures, functions, and views
• Support the reporting team with complex SQL queries and database design
  
  

• Design and build ETL/ELT pipelines using Azure Data Factory and Python
• Implement data quality checks and validation rules before data enters pipelines
• Develop data integration solutions to connect various data sources and systems
• Create automated data validation, quality monitoring, and alerting mechanisms
• Develop Python scripts for data processing, transformation, and automation
• Build and maintain data models to support reporting and analytics requirements
  
  

• Help data analytics team build visualizations and dashboards by providing data models and queries
• Support reporting team with data extraction, transformation, and complex reporting queries
• Collaborate with development teams to support application database requirements
• Provide technical guidance and best practices for database design and query optimization
  
  

• Work with Azure services including Azure SQL Database, Azure Data Factory, Azure Storage, Azure Functions, and Azure ML
• Implement cloud-based data solutions following Azure best practices
• Support cloud database migrations and optimizations
• Work with Agentic AI concepts and tools to build intelligent data solutions
  
  

• 5-8 years of experience in data engineering and database administration
• Strong expertise in MS SQL Server (2016+) administration and development
• Proficient in writing complex SQL queries, stored procedures, functions, and views
• Hands-on experience with Microsoft Azure services (Azure SQL Database, Azure Data Factory, Azure Storage)
• Strong Python scripting skills for data processing and automation
• Experience with ETL/ELT design and implementation
• Knowledge of database performance tuning, query optimization, and indexing strategies
• Experience with SQL performance debugging tools (XEvents, Profiler, or similar)
• Understanding of data modeling and dimensional design concepts
• Knowledge of Agile methodology and experience working in Agile teams
• Strong problem-solving and analytical skills
• Understanding of Agentic AI concepts and tools
• Excellent communication skills and ability to work with cross-functional teams
  
  

• Knowledge of insurance or financial services domain
• Experience with Azure ML and machine learning pipelines
• Experience with Azure DevOps and CI/CD pipelines
• Familiarity with data visualization tools (Power BI, Tableau)
• Experience with NoSQL databases (Cosmos DB, MongoDB)
• Knowledge of Spark, Databricks, or other big data technologies
• Azure certifications (Azure Data Engineer Associate, Azure Database Administrator Associate)
• Experience with version control systems (Git, Azure Repos)
  
  

• MS SQL Server 2016+, Azure SQL Database, Azure Data Factory, Azure ML, Azure Storage, Azure Functions, Python, T-SQL, Stored Procedures, ETL/ELT, SQL Performance Tools (XEvents, Profiler), Agentic AI Tools, Azure DevOps, Power BI, Agile, Git
  
  

• 33 days of paid holiday
• Competitive compensation well above market average
• Work in a high-growth, high-impact environment with passionate, talented peers
• Clear path for personal growth and leadership development
  
  

Skills:- Python, SQL, ETL, DBA, Windows Azure and ADF