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Senior Database Engineer

4 weeks ago

Noida, India Borderlessmind Full time

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.