
Senior Database Engineer
1 week ago
Job Title: Sr. Data Engineer
Location:Noida/Remote
Profile Summary:
We are looking for a skilled data professional with hands-on experience in SQL, AWS Redshift, and PostgreSQL for efficient data management, transformation, and optimization. Proficient in developing insightful dashboards and reports using Power BI to support data-driven decision-making. Strong understanding of cloud-based data warehousing, ETL pipelines, and relational database systems. Ideal candidate will demonstrate the ability to translate complex data into actionable business intelligence.
Key Responsibilities
- Develop, optimize, and maintain complex SQL queries, stored procedures, and data models to support analytics and reporting.
- Design, build, and enhance dashboards, visualizations, and self-service BI solutions in platforms such as Qlik, Tableau, Power BI, Domo, or MicroStrategy
- Ensure data quality, consistency, and performance across reporting layers through unit testing and source reconciliation.
- Provide analytical insights that drive decision-making across functional areas (claims, premiums, sales, and operations).
- Collaborate with data engineering and business stakeholders in both agile and ad-hoc project work.
Required Qualifications
- 7+ years of hands-on experience with SQL (advanced query writing, optimization, performance tuning).
- Strong expertise with at least one major BI / dashboarding tool (Qlik, Tableau, Power BI, Domo, or MicroStrategy).
- Solid understanding of data modeling, ETL concepts, and BI best practices.
- Experience working with large datasets and relational databases (e.g., SQL Server, Oracle, Postgres, Redshift, Snowflake).
- Strong analytical and problem-solving skills with a business-oriented mindset.
- Excellent communication skills with the ability to work independently in an offshore/remote setup.
Preferred Qualifications
- Property & Casualty insurance experience.
- Experience with cloud data platforms (AWS Redshift, Snowflake, etc).
- Familiarity with data governance, performance monitoring, and self-service BI adoption strategies.
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