Senior Database developer

Diligencevault , Pune, Remote · www.diligencevault.com · Full-time employment · Programming

Responsibilities:

  • Develop and maintain database-related aspects of applications based upon SQL Server 2008 R2 and SQL Server 2014, as well as Azure SQL Database.
  • Role responsibilities would also include REST API development(in python), building microservices and Devops (good to have but not necessary).
  • Advising developers on the most efficient database designs (tables, datatypes, stored procedures, functions, etc.).
  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
  • Building REST APIs in python and extend search APIs (elasticsearch).

Requirements:

  • Solid and advanced database development experience is a must.
  • Extensive database programming experience in writing T-SQL Stored procedures, Functions, Triggers, Constraints and Indexes using various DDL and DML commands.
  • Expert in writing Complex T-SQL queries, sub-queries and complex joins.
  • Demonstrate understanding of performance tuning & query execution plans.
  • Bachelors degree in Computer Science, Computer Engineering, Information Technology, or equivalent from an accredited college or university.
  • 5+ years of recent hands-on database experience, including tables, indexes, triggers, queries, stored procedures and functions.
  • Extensive hands-on experience with SQL Server.
  • Excellent interpersonal and communication skills.
  • Exceptional attention to detail and time management.
  • Be a self-starter and work well independently as well as in a collaborative team environment.
  • Comfortable interacting with executive team members and cross-department.
  • Ability to quickly absorb business, technical and market concepts.
  • Proven ability to react calmly under tight deadlines.
  • Demonstrated problem solving and troubleshooting abilities.
  • Data modeling experience with both relational and dimensional data models.
  • Query optimization and performance tuning experience, including execution plan analysis.

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