Sr Software Engineer

4 Months ago • 5 Years + • Data Analyst • Backend Development

Job Summary

Job Description

ConcertAI seeks a Sr Software Engineer to build and enhance its next-generation data analytics product. You'll own the backend architecture, design APIs, and work with large healthcare datasets. Expertise in Python, SQL, big data, and microservices is essential.
Must have:
  • Python development
  • SQL experience
  • Big data processing
  • Microservices architecture
Good to have:
  • AWS Redshift
  • Elastic Search
  • Docker deployment
  • HIPAA understanding

Job Details

About the job

Job Requirements

Role Summary

ConcertAI is seeking a strong hands-on technology leader who will build and enhance our next generation data analytics product, processing large volume of real-world healthcare datasets to provide real world insights and optimization of clinical trial design using advance analytics capabilities. The ideal candidate will serve as the technical point person, working closely with product managers, data scientists and development team to advance the product technology and business roadmap.

Responsibilities

  • Own and drive the backend architecture of our application platform, considering future product roadmap
  • Design and develop production-ready APIs, services and algorithms built to scale, high performing and compliant to security standards.
  • Drive and uphold high engineering standards and practices, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
  • Work closely with product management, engineering, dev-ops and data engineering team to build, support and deliver new product releases
  • Drive optimization, unit testing and tooling to improve quality of solutions
  • Understands product needs to define optimal system specifications.
  • Evaluates and selects appropriate tech stack and suggests integration methods & business impact.
  • Ensures the implementation of agreed architecture and infrastructure.
  • Resolves project challenges involving scope, design and technical problems when they arise.
  • Addresses technical concerns, ideas and suggestions.
  • Monitors systems to ensure they meet both user needs and business goals.

Requirements

  • 5+ years of experience developing healthcare data analytics products using the following programming languages: Python (Preferred), Java, SQL.
  • Experience in conceiving/designing/ architecting/developing scalable and high performing micro-services-based architecture for data analytics products/application involving large volume of data processing and embedded ML models.
  • Strong big data processing experience with Spark, Hadoop etc
  • Strong experience with database and SQL (AWS Redshift (Preferred), Postgres, SQL Server)
  • Experience building Search Analytics preferably through Elastic Search.
  • Strong SQL and Python programming skills
  • Problem-solving aptitude, with a willingness to work in a fast-paced product development environment and hands-on mentality to do whatever it takes to deliver a successful product.
  • Experience in web application development and deployment.
  • Proficiency with APIs, containerization and orchestration using cloud technologies in AWS is a plus
  • Experience with advanced analytics and modern machine learning techniques is a plus
  • Experience with NoSQL is a plus
  • Experience with Docker for deployment and local development is a plus
  • Understanding data standardization practices in pharma domain, integrating Healthcare data, and security related to HIPAA is a plus.

Work Experience

  • programming languages: Python (Preferred), Java, SQL.
  • Experience in conceiving/designing/ architecting/developing scalable and high performing micro-services-based architecture for data analytics products/application involving large volume of data processing and embedded ML models.
  • Strong big data processing experience with Spark, Hadoop, AWS EMR (preferred) etc
  • Strong experience with database and SQL (AWS Redshift (Preferred), Postgres, SQL Server)
  • Experience building Search Analytics preferably through Elastic Search.
  • Strong SQL and Python programming skills

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