Job Description:
Must-Have
• 5-7 years of hands-on experience with NextJS implementation
• Hands on experience with server side rendering and static site generation
• Exp. On API implementation and integration with JAVA framework
• Knowledge on authentication & authorization
• Good communication skill
Key Responsibilities:
• Develop and maintain scalable web applications using Next.js and TypeScript
• Implement server-side rendering (SSR) and static site generation (SSG)
• Integrate RESTful APIs and connection with Postgres SQL database• Work with ORMs like Prisma for database interactions.
• Style applications using Tailwind CSS and ensure responsive design.
• Write and maintain unit tests using Jest and React Testing Library.
• Optimize code for performance, scalability, and SEO.
• Implement authentication and authorization (e.g., JWT, OAuth, NextAuth.js)
• Manage state using tools like Redux, or React Context API
• Ensure security best practices are followed, including fixing vulnerabilities and implementing secure coding standards.
• Adhere to coding standards, perform code reviews, and maintain clean code practices.
• Handle exception management and implement robust error-handling mechanisms.
• Collaborate with cross-functional teams including designers, backend developers, and DevOps.
• Familiarity with the tools like JIRA ,Stash / Gitlab , Confluence
Good-to-Have
• Should have experience on handling customer one on one.
• PostgreSQL development
SN Responsibility of / Expectations from the Role :
1 Understand the requirements and develop the application meeting the same
2 Able to build new application architecture from scratch
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Java Spring boot, Microservice, Backend services experience is Must Proficiency in IBM Transformation Extender (ITX) tools and components (e.g., ITX Designer, ITX Toolkit, ITX runtime environment).Strong understanding of data transformation processes, mapping, and routing using ITX.Expertise in troubleshooting and resolving complex ITX job failures and performance issues.DataPower Exp Experience with SQL database integration, connect to MQ,etc.Experience with automation and scripting languages (e.g., Python, Bash, PowerShell) for managing ITX jobs and processes.Identifies impact analysis and provides resolution or escalation.Creates reports and share them with StakeholdersResult-focused, team-oriented professional with a strong work ethic.Strong verbal communication skills with the ability to present technical details to a non-technical audience and prepare clear and concise written documentation DataPower Experience Responsibility of / Expectations from the Role Provide day-to-day support for IBM Transformation Extender (ITX) jobs and data transformation processes.Troubleshoot and resolve issues related to data transformation, message flows, and ITX jobs.Perform root cause analysis for failed ITX jobs, ensuring the timely identification and resolution of problems.Troubleshoot and resolve integration-related issues, including data inconsistencies and transformation errors between ITX and other applications.Optimize ITX jobs to enhance their performance, reduce processing times, and minimize resource consumption.Patch management, and maintenance tasks for ITX and related systems.Coordinate with other teams to move ITX jobs through various development stages, ensuring proper testing and quality assurance.Support integration efforts between ITX and other middleware and data systems (e.g., message queues, databases, and other data sources).Document troubleshooting steps and best practices to aid in faster issue resolution and knowledge sharing.Stay updated with the latest IBM technologies and industry trends, and apply them to projects when appropriate.Provide technical guidance and mentorship to junior developers
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Strong understanding of the Display Advertising Ecosystem, Ad networks, rich media vendors, RTB/Programmatic media buying. Govern process to drive Quality assurance in campaign deliveries. Excellent Microsoft Excel skills (but not limited to) Vlookup/ Sumif/ iferror and pivot tables. 2+ years of Ad Ops experience
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :DSP, Google Ads, Google Ads Editor, Social Marketing, Excel Pivot Formulas
Job Description:
Deep Microsoft Azure product knowledge and understanding of product features.? Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.? Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.? Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.? Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)? Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.? Expertise in cloud security and identity best practices? A deep understanding of ETL and ELT tools and techniques? Exposure to other cloud solutions (Google, AWS) a plus.? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.? Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.) ? Hands-on work experience on application platforms like .Net, Python, Java etc. preferred ? Understanding of big data platforms concepts and NoSQL technologies, and ability to map such? The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines. ? Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches. ? Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake. ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Essential Skills:
Deep Microsoft Azure product knowledge and understanding of product features.? Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.? Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.? Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.? Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)? Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.? Expertise in cloud security and identity best practices? A deep understanding of ETL and ELT tools and techniques? Exposure to other cloud solutions (Google, AWS) a plus.? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.? Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.) ? Hands-on work experience on application platforms like .Net, Python, Java etc. preferred ? Understanding of big data platforms concepts and NoSQL technologies, and ability to map such? The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines. ? Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches. ? Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake. ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Desirabla Skills :
A great team player, with the ability to perfectly integrate and play a pivotal role in a team that includes also data scientists, data engineers and data analysts? Able to appreciate short term vs. long term goals and take both tactical and strategic decisions? Great communication skills, ability to communicate complex technical concepts to a non-technical audience? Strong organizational skills, the ideal candidate has the ability to work in a fast-paced environment and has the ability to quickly adapt to changing priorities? Stays on top of the latest trends and develops expertise in emerging cloud technologies. Works well as a technical leader and individual contributor.? Build processes supporting data transformation, data structures, metadata, dependency, and workload management. ? Guide the development of an Agile data development experience, when required using DW automation tools. ? Assist the project team in planning and execution to achieve daily and sprint goals. ? Articulate documentation of project artefacts and deliverables. ? Identifies and communicates risks clearly to the Product owner and the team. ? Education of customer on how the technology recommendation/solution planned will fulfil the customer expressed needs
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Deep Microsoft Azure product knowledge and understanding of product features.? Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.? Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.? Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.? Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)? Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.? Expertise in cloud security and identity best practices? A deep understanding of ETL and ELT tools and techniques? Exposure to other cloud solutions (Google, AWS) a plus.? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.? Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.) ? Hands-on work experience on application platforms like .Net, Python, Java etc. preferred ? Understanding of big data platforms concepts and NoSQL technologies, and ability to map such? The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines. ? Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches. ? Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake. ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Essential Skills:
Deep Microsoft Azure product knowledge and understanding of product features.? Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.? Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.? Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.? Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)? Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.? Expertise in cloud security and identity best practices? A deep understanding of ETL and ELT tools and techniques? Exposure to other cloud solutions (Google, AWS) a plus.? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.? Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.) ? Hands-on work experience on application platforms like .Net, Python, Java etc. preferred ? Understanding of big data platforms concepts and NoSQL technologies, and ability to map such? The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines. ? Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches. ? Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake. ? Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Desirabla Skills :
A great team player, with the ability to perfectly integrate and play a pivotal role in a team that includes also data scientists, data engineers and data analysts? Able to appreciate short term vs. long term goals and take both tactical and strategic decisions? Great communication skills, ability to communicate complex technical concepts to a non-technical audience? Strong organizational skills, the ideal candidate has the ability to work in a fast-paced environment and has the ability to quickly adapt to changing priorities? Stays on top of the latest trends and develops expertise in emerging cloud technologies. Works well as a technical leader and individual contributor.? Build processes supporting data transformation, data structures, metadata, dependency, and workload management. ? Guide the development of an Agile data development experience, when required using DW automation tools. ? Assist the project team in planning and execution to achieve daily and sprint goals. ? Articulate documentation of project artefacts and deliverables. ? Identifies and communicates risks clearly to the Product owner and the team. ? Education of customer on how the technology recommendation/solution planned will fulfil the customer expressed needs
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skill Required: Digital : Cloud Chef~Digital : HTML5-CSS3~Advanced Java Concepts
Experience Range in Required Skills: 4-6 Years.
Job Description: Java Full Stack Developer
Essential Skills: Java Full Stack Developer
Desirable Skills: Java Full Stack Developer
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
