OPEN ROLE — VIA SYMPHONI HR

Senior Dotnet Developer.

MumbaiHybrid6–8 yearsPosted 2026-09-21

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a prominent global leader in the computer software industry, known for driving digital transformation through innovative technology solutions. They foster a collaborative and fast-paced environment that encourages professional growth and technical excellence. With a focus on large-scale enterprise projects, they provide a platform for engineers to work on cutting-edge data and application architectures.

About the role.

We are looking for a highly skilled Senior Dotnet Developer to join a dynamic data engineering team in Mumbai. This role focuses on architecting and maintaining robust data pipelines and high-performance applications, effectively bridging the gap between traditional .NET development and advanced big data ecosystems.

What you will do.

  • Develop high-performance Web APIs and backend services using C# and the .NET framework.
  • Execute advanced SQL queries and perform rigorous performance tuning to ensure system efficiency.
  • Lead data modeling initiatives to support enterprise-level reporting and analytics requirements.
  • Design and maintain scalable data pipelines integrating diverse big data technologies.
  • Collaborate with cross-functional teams to optimize complex data architectures.
  • Implement CI/CD best practices to ensure seamless deployment and system reliability.
  • Provide technical guidance and mentorship to junior team members.

What you bring.

  • 6–8 years of professional experience in .NET and C# development.
  • Extensive experience with Informatica for data integration and Snowflake for cloud data warehousing.
  • Advanced knowledge of SQL, database design, and data modeling techniques.
  • Proven expertise in performance tuning and optimizing complex data architectures.
  • Hands-on experience with big data technologies including Hadoop, Spark, and Apache Airflow.
  • Proficiency in cloud platforms such as AWS, Azure, or GCP.
  • Strong understanding of CI/CD pipelines and version control using Git.
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