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Mid-level, metro Hyderabad data analytics role with common tech stack increases applicant density.
Core data engineering skills are transferable, but required finance process domain knowledge increases specificity.
Explicit 5+ years plus mandatory Snowflake, Microsoft Fabric and Power BI make the filters strict.
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Design, build, and scale enterprise-level cloud data pipelines and analytics platforms using Microsoft Fabric, Snowflake, and Power BI.
Translate complex business and finance process requirements (OTC, STP, RTR) into actionable data strategies and deliver governed, high-performance Power BI dashboards.
Implement and maintain data governance, data quality, and compliance standards while promoting technical excellence and advancing data engineering capabilities within the team.
Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or related field.
5+ years of experience in data analytics with demonstrated skills in SQL and relational databases.
Hands-on experience with Snowflake, Microsoft Fabric, and Power BI for cloud-based data solutions.
Experience or knowledge of finance domains such as Order-to-Cash (OTC), Source-to-Pay (STP), and Record-to-Report (RTR).
Experienced in designing and operating cloud-scale data orchestration and analytics environments in fast-paced, global companies.
Proficient in stakeholder management to influence both technical and non-technical audiences with complex data solutions.
Strategically minded with familiarity in emerging technologies, automation, and CI/CD pipelines to drive business impact through data.