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LiveHybridFull-timeApply by 1 Nov 2026

Senior Software Engineer

Mumbai, Maharashtra, India

Experience
8–16 years
Employment
Full-time
Work mode
Hybrid
Salary
₹26.9 L–48.1 L / year
Deadline
Apply by 1 Nov 2026
Posted
2025-05-05

Required skills

SkillExperienceLevel
Java (All Versions)7+ years0
AWS Glue3+ years0
Apache Flink2+ years0
Grafana2+ years0
Data Visualization2+ years0
Big Data2+ years0
AWS S32+ years0
Amazon Redshift2+ years0
AWS2+ years0
Apache-Kafka2+ years0
SpringBoot2+ years0
Microservices2+ years0
Go Lang1+ years0
Data analytics8+ yearsIntermediate

About the role

We are looking for a Senior Software Engineer with expertise in dashboarding, reporting applications, and data analytics. The ideal candidate should have strong programming skills in Golang and Java, experience working with AWS services like Kinesis, Redshift, and Elasticsearch, and the ability to build scalable, high-performance data pipelines and visualization tools. This role is critical in delivering data-driven insights that help businesses make informed decisions.

Key Responsibilities:

  • Design, develop, and maintain dashboards and reporting applications for real-time and batch data visualization.
  • Build data pipelines and analytics solutions leveraging AWS services like Kafka, Redshift, Elasticsearch, Glue, and S3.
  • Work with data engineering teams to integrate structured and unstructured data for meaningful insights.
  • Optimize data processing workflows for efficiency and scalability.
  • Develop APIs and backend services using Golang and Java to support reporting and analytics applications.
  • Collaborate with business stakeholders to gather requirements and deliver customized reports and visualizations.
  • Implement data security, governance, and compliance best practices.
  • Conduct code reviews, troubleshooting, and performance tuning.
  • Stay updated with emerging data analytics and cloud technologies to drive innovation.

Required Qualifications:

  • 8-16 years of experience in software development, data analytics, and dashboarding/reporting applications.
  • Proficiency in Golang and Java for backend development.
  • Strong expertise in AWS data services (Kinesis, Redshift, Elasticsearch, S3, Glue).
  • Experience with data visualization tools (Grafana, Tableau, Looker, or equivalent).
  • Proficiency in SQL and NoSQL databases, with a solid understanding of data modeling and performance optimization.
  • Experience in building and managing scalable data pipelines.
  • Experience in big data processing frameworks (Spark, Flink).
  • Strong problem-solving skills with a focus on efficiency and performance.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience with real-time data streaming and event-driven architectures.
  • Familiarity with big data processing frameworks (Spark, Flink).
  • Experience in CI/CD pipelines and DevOps practices.

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