seeking a Data Analytics professional with 3–6 years of experience who can analyze data, generate meaningful reports, and build data-driven solutions. The role requires strong hands-on analytics, coding skills, cloud exposure, and the ability to integrate AI/ML capabilities to enhance insights and automation.
This role sits at the intersection of data analysis, reporting, and intelligent automation, supporting business and technology stakeholders with actionable insights.
Required Skills & Experience
Experience
• 3–6 years of experience in Data Analytics, Data Engineering, or similar roles
•
Technical Skills
• Strong coding skills Python / SQL (mandatory), terraform , Pulumi experience (nice to have)
• Experience with data analysis and reporting tools (e.g., Power BI, QuickSight, DataBricks, Tableau (nice to have))
• Solid understanding of Git and collaborative development workflows. Experience integrating analytics into CI/CD pipelines
• Hands on experience with cloud platforms (AWS (must), Azure, or GCP)
• Sound knowledge on Serverless Architecture
• Hands-on experience in JIRA, Confluence and good experience working in Agile setup
• Good Documentation skills
Analytics & AI
• Experience working with large datasets and building analytics solutions
• Exposure to AI/ML concepts and applying them in analytics use cases
• Understanding of statistical methods and data modeling fundamentals
Preferred / Nice to Have Skills
• Familiarity with data orchestration or transformation frameworks
• Knowledge of cloud native analytics services and managed data platforms
• Exposure to FinOps, Security analytics, or compliance driven data use cases
Soft Skills
• Strong analytical and problem solving mindset
• Ability to communicate insights clearly to non technical stakeholders
• Proactive, ownership driven attitude with attention to detail
• Comfortable working in cross functional, fast paced environments
Responsibilities
e are seeking a Data Analytics professional with 3–6 years of experience who can analyze data, generate meaningful reports, and build data-driven solutions. The role requires strong hands-on analytics, coding skills, cloud exposure, and the ability to integrate AI/ML capabilities to enhance insights and automation.
This role sits at the intersection of data analysis, reporting, and intelligent automation, supporting business and technology stakeholders with actionable insights.
Required Skills & Experience
Experience
• 3–6 years of experience in Data Analytics, Data Engineering, or similar roles
•
Technical Skills
• Strong coding skills Python / SQL (mandatory), terraform , Pulumi experience (nice to have)
• Experience with data analysis and reporting tools (e.g., Power BI, QuickSight, DataBricks, Tableau (nice to have))
• Solid understanding of Git and collaborative development workflows. Experience integrating analytics into CI/CD pipelines
• Hands on experience with cloud platforms (AWS (must), Azure, or GCP)
• Sound knowledge on Serverless Architecture
• Hands-on experience in JIRA, Confluence and good experience working in Agile setup
• Good Documentation skills
Analytics & AI
• Experience working with large datasets and building analytics solutions
• Exposure to AI/ML concepts and applying them in analytics use cases
• Understanding of statistical methods and data modeling fundamentals
Preferred / Nice to Have Skills
• Familiarity with data orchestration or transformation frameworks
• Knowledge of cloud native analytics services and managed data platforms
• Exposure to FinOps, Security analytics, or compliance driven data use cases
Soft Skills
• Strong analytical and problem solving mindset
• Ability to communicate insights clearly to non technical stakeholders
• Proactive, ownership driven attitude with attention to detail
• Comfortable working in cross functional, fast paced environments
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Required Experience: 8–12 Years
Technical Requirements:
• Strong hands-on experience in C#, ASP.NET Core, .NET 6/7/8, Web APIs, Entity Framework Core.
• Expertise in developing scalable, high-performance microservices-based applications.
• Proficiency in modern UI frameworks such as React.js (preferred), Angular, or Vue.js, along with TypeScript, JavaScript, HTML5, and CSS3.
• Strong database knowledge with SQL Server, including data modeling, query optimization, performance tuning, and indexing. Experience with PostgreSQL, MongoDB, Cosmos DB, or Redis is a plus.
• Hands-on experience with Azure/AWS/GCP, including cloud-native application development and deployment.
• Strong knowledge of Docker, Containers, Kubernetes (AKS/EKS/GKE), Helm, and container orchestration.
• Experience with CI/CD pipelines, Azure DevOps, GitHub Actions, or Jenkins.
• Understanding of REST APIs, messaging platforms (Kafka/Service Bus), security best practices, and OAuth/JWT authentication.
• Experience working in Agile environments with strong problem-solving and technical leadership skills.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Required Experience: 8–12 Years
Job Summary
Senior Software Engineer with strong hands-on experience in**.NET, C#, WPF, REST APIs, SQL Server, and distributed/event-driven architecture**. The candidate will be responsible for designing, developing, testing, and maintaining scalable software applications while ensuring high performance, reliability, and quality.
Key Responsibilities
• Design, develop, and maintain software applications using C#, .NET, WPF, ASP.NET Core, REST APIs, and SQL Server.
• Work on event-driven architecture, distributed systems, microservices, and MQTT-based communication where applicable.
• Develop solutions that support cross-platform (Windows/Linux) deployment and OS-agnostic architecture.
• Apply object-oriented programming, SOLID principles, design patterns, and database design for scalable and maintainable solutions.
• Participate in code reviews, debugging, performance tuning, unit testing, and integration activities.
• Collaborate with cross-functional teams to ensure seamless integration of software components.
• Follow SDLC best practices and contribute to quality, documentation, and release readiness.
Required Skills
• Strong experience in C#, .NET Framework / .NET Core, MQTT-based communication , microservices , cross-platform (Windows/Linux) deployment ,WPF, ASP.NET Core
• Good knowledge of REST APIs, Web API, Windows applications, and backend services
• Experience with SQL Server, complex queries, stored procedures, and data modeling
• Good understanding of Entity Framework / NHibernate / relational databases
• Strong knowledge of OOP, design patterns, debugging, and performance optimization
• Exposure to C++ will be an added advantage
Preferred Skills
• Experience in medical-device software development
• Understanding of cybersecurity, networking, scalable software solutions, and secure coding practices
Experience with technical documentation, Agile/Scrum, Git, and Azure DevOps
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Software Engineer - Java full Stack - (260002QG)
Missions
Experience in Java, KUBE tools
Working knowledge on Spring ecosystem. Comfortable performing integration tests in Spring context
Working Knowledge on Postgre.
Prior experience working with CI/CD tools and Azure
Knowledge of Microservices (REST) and its challenges
Mentor junior team members
Work towards process standardization and improvement
Act as a single point of contact for technical issue and lead with examples
Experience delivering sound development, testing, implementation, deployment and support strategies in complex distributed environments.
Knowledge on production monitoring tools.
Team player, who relentlessly shares knowledge with team
Profile
Need strong exposure in Java ,J2EE and PostgreSQL
Should be proficient in Azure, Kubernetes, Rest API,
Should have good experience working in Agile Scrum model, handling CI/CD pipeline, TDD etc
Should have exposure in tools like Kibana, Maven, Jenkins, SONAR.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Software Engineer - Java full Stack - (260002QG)
Req ID-10900152
Role Descriptions: Developer Databricks Key Responsibilities Design| develop| and maintain scalable ETLELT data pipelines across enterprise data platforms.Build and optimize transformation workflows using DBT and SQL.Develop data processing logic using Python and Databricks.Create and maintain reliable data models for analytics| reporting| and downstream consumption.Work with architects| business analysts| and application teams to understand data requirements and translate them into technical solutions.Perform data validation| quality checks| reconciliation| and root cause analysis for data issues.Optimize queries| jobs| notebooks| and pipelines for performance| cost| and reliability.Maintain technical documentation including data lineage| mappings| transformation rules| and operational handover notes.Support production deployments| incident analysis| and continuous improvement of data engineering processes.Required Skills and ExperienceStrong hands-on experience with Databricks.Good knowledge of DBT for data transformation and model management.Advanced SQL skills for querying| transformation| optimization| and troubleshooting.Proficiency in Python for data processing| automation| and scripting.Strong understanding of ETLELT concepts and pipeline design patterns.Experience in relational| dimensional| and analytical data modeling.Preferred SkillsExperience with Spark or PySpark.Exposure to Azure Data Factory| Azure Synapse| or other Azure data services.Experience working in AgileScrum delivery models.Knowledge of CICD practices for data pipelines.
Essential Skills: Developer Databricks Key Responsibilities Design| develop| and maintain scalable ETLELT data pipelines across enterprise data platforms.Build and optimize transformation workflows using DBT and SQL.Develop data processing logic using Python and Databricks.Create and maintain reliable data models for analytics| reporting| and downstream consumption.Work with architects| business analysts| and application teams to understand data requirements and translate them into technical solutions.Perform data validation| quality checks| reconciliation| and root cause analysis for data issues.Optimize queries| jobs| notebooks| and pipelines for performance| cost| and reliability.Maintain technical documentation including data lineage| mappings| transformation rules| and operational handover notes.Support production deployments| incident analysis| and continuous improvement of data engineering processes.Required Skills and ExperienceStrong hands-on experience with Databricks.Good knowledge of DBT for data transformation and model management.Advanced SQL skills for querying| transformation| optimization| and troubleshooting.Proficiency in Python for data processing| automation| and scripting.Strong understanding of ETLELT concepts and pipeline design patterns.Experience in relational| dimensional| and analytical data modeling.Preferred SkillsExperience with Spark or PySpark.Exposure to Azure Data Factory| Azure Synapse| or other Azure data services.Experience working in AgileScrum delivery models.Knowledge of CICD practices for data pipelines.
Desirable Skills:
Keyword:
Skills: Digital : Databricks
Experience Required: 6-8
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
