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.)