Lead Database Engineer

Job posted by : Piyush Sarawagi ,

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Job Detail

  • Industry:
    Information Technology
  • Job Type:
    Full Time
  • Salary:
    Rs 12-18 (lakhs per annum) )
  • Job Location:
    Mangaluru India
  • Minimum Education:
    B.Tech/B.E
  • Experience:
    7-15 Years
  • Job Posting Date:
    Jan 10, 2019
  • Last date to Apply:
    Feb 24, 2019
Min salary :(1200,000) max salary :(1800,000


Job Description

Our client  is setting a new standard in the AI FinTech space and disrupting the way people and companies look at Financial Planning and Advice. Our platform uses proprietary artificial intelligence technology to offer the only truly fiduciary financial advice by using neural networks to analyze over 2 million points per user, help them make the most important financial decisions effortlessly and confidently!

We are looking for a talented database engineer to join our newly forming team in India where you will work with our development team to design and implement performant database architectures across multiple systems and services. The successful candidate should have strong analytical skills; and experience in creating scalable and flexible database components. You would be working on database technologies and frameworks including MS SQL Server 2017, SSDT/ SSIS, PostgreSQL and MongoDB. 

Preferred skills: MS SQL Server, T-SQL, SSIS/SSDT, Postgres, MongoDB, ETL frameworks, Data Warehouse systems, REST, CI/CD processes, Agile Scrum, Linux, AWS, Azure.

What You Will Be Doing

Collaborate and work closely with business stakeholders on the complete SDLC - understanding requirements, design and architect solutions, develop, formulate testing and devops strategies.
Administer critical data and integration layer components.
 Should be a hands-on developer who documents and delivers high quality, scalable software applying Agile development principles.
Design and develop solutions using database technologies and frameworks including MS SQL Server 2017, SSDT/ SSIS, MongoDB
Help define and apply the software development process for SQL development (coding conventions, peer code reviews, CI/CD).
Take ownership and identify roadblocks and escalate issues early. 

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