Data Engineer

OPPORTUNITY  

We are seeking an experienced Data Engineer with 2-3 years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.

SCOPE OF WORK  

• Design and implement scalable data models and pipelines using modern data engineering practices
• Develop and maintain production-grade analytics solutions within Azure ecosystem
• Build comprehensive dashboards and reports using Power BI to support business stakeholders
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Optimize SQL queries and data processing workflows for performance and reliability
• Support and enhance existing data infrastructure while implementing new analytics capabilities
• Participate in code reviews and maintain high standards for data quality and documentation
• Respond quickly to critical data issues and provide solutions under tight deadlines 

IDEAL CANDIDATE PROFILE 

Required Qualifications 

• 2-3 years of experience in analytics engineering, data engineering, or similar role
• Advanced SQL proficiency with experience in complex query optimization and database design
• Python programming skills for data manipulation, automation, and analytics
• Power BI expertise including dashboard development, DAX, and data visualization best practices
• Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
• Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
• Production environment experience including deployment, monitoring, and maintenance of data systems
• Strong communication skills with ability to explain technical concepts to non-technical stakeholders
• Proven ability to work independently and manage multiple priorities effectively
• Experience working under pressure with quick turnaround requirements 

Preferred Qualifications 

• Snowflake and/or Databricks experience with modern cloud data platforms
• Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
• Machine Learning experience including model development, deployment, or MLOps practices
• Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
• Knowledge of data governance and compliance frameworks
• Experience with version control (Git) and CI/CD practices
• Advanced Python libraries experience (pandas, scikit-learn, etc.)