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Mid-level generalist data role in Gurgaon with broad cloud, SQL, and BI requirements, driving high competition.
Core data engineering skills (SQL, ETL, modeling) are highly transferable across industries; domain experience is optional.
Explicit 5-9 years plus mandatory Redshift/SQL/ETL/Power BI skills create strict candidate filters.
Design and implement scalable analytical solutions using AWS Redshift and S3, including ETL workflows, ingestion pipelines, and enterprise reporting structures.
Develop and maintain advanced SQL scripts, views, stored procedures, and reusable analytical components to support data preparation, transformation, validation, and business analytics.
Lead analytics initiatives by designing analytical data models, optimizing performance, developing Power BI dashboards, and collaborating with stakeholders for strategic insights and architecture best practices.
5-9 years of experience with Azure/AWS, Microsoft Power BI, SQL, analytical data modeling, and analytics engineering frameworks.
Strong proficiency in SQL scripting, complex queries, data transformation logic, and performance optimization at large scale.
Experience with modern data warehouse build, schema validation/testing, data products, and scalable ETL processes.
Work Experience Required: 5-9 years relevant experience.
Experienced in end-to-end modern data warehouse analytics engineering including schema testing, data modeling, and enterprise data products.
Expertise in Microsoft Power BI including DAX and advanced visualization to translate client requirements into BI solutions.
Familiarity with Insurance or Financial Analytics and enterprise analytics architecture, with ability to operate in Agile, cross-functional environments.