Job Description:
8-10 years of hands-on, working expereince with TypeScript and React8-10 years using testing libraries like Jest, React Testing Libraries, Enzyme etc.8-10 years of experience with responsive UI design and development.8-10 years of experience in writing clean, high quality, high performing, scalable code5+ years of experience in whole web stack, including protocols and web server optimization techniques.5+ experience with CI/CD6-8 years of hands-on, working expereince with TypeScript and React6-8 years using testing libraries like Jest, React Testing Libraries, Enzyme etc.6-8 years of experience with responsive UI design and development.6-8 years of experience in writing clean, high quality, high performing, scalable code5+ years of experience in whole web stack, including protocols and web server optimization techniques.5+ experience with CI/CD
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Collect, analyze, and interpret HR data to support decision-making and strategic planning.
• Generate regular reports on employee headcount, attrition, engagement, performance, and other HR metrics.
• Work closely with the HR Business Partner and line managers to track and monitor workforce data.
• Assist in workforce planning and talent analytics.
• Manage Excel-based trackers and dashboards for HR operations and audits.
• Support internal audits, compliance checks, and data accuracy reviews.
• Collaborate with cross-functional teams for HR-related projects and initiatives.
________________________________________
Required Skills:
• Advanced Excel skills – VLOOKUP, Pivot Tables, Dashboards, Data Cleaning & Validation.
• Strong analytical thinking and attention to detail.
• Excellent communication and coordination skills.
• Ability to handle sensitive information with confidentiality.
• Prior experience in HR operations, data management, or analytics.
________________________________________
Qualifications:
• Bachelor’s degree in Human Resources, Business Administration, Statistics, or a related field.
• 2+ years of experience in HR analysis, HR operations, or MIS roles
Responsibilities
• Collect, analyze, and interpret HR data to support decision-making and strategic planning.
• Generate regular reports on employee headcount, attrition, engagement, performance, and other HR metrics.
• Work closely with the HR Business Partner and line managers to track and monitor workforce data.
• Assist in workforce planning and talent analytics.
• Manage Excel-based trackers and dashboards for HR operations and audits.
• Support internal audits, compliance checks, and data accuracy reviews.
• Collaborate with cross-functional teams for HR-related projects and initiatives.
________________________________________
Required Skills:
• Advanced Excel skills – VLOOKUP, Pivot Tables, Dashboards, Data Cleaning & Validation.
• Strong analytical thinking and attention to detail.
• Excellent communication and coordination skills.
• Ability to handle sensitive information with confidentiality.
• Prior experience in HR operations, data management, or analytics.
________________________________________
Qualifications:
• Bachelor’s degree in Human Resources, Business Administration, Statistics, or a related field.
• 2+ years of experience in HR analysis, HR operations, or MIS roles
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Key Responsibilities:
• Develop and deploy machine learning models for business-critical use cases across functions like supply chain, customer analytics, pricing, etc.
• Apply statistical modeling, predictive modeling, and advanced analytics to identify key trends and generate actionable insights.
• Conduct deep data analysis and exploratory research to solve complex business problems.
• Use data mining techniques to extract meaningful patterns from large structured and unstructured datasets.
• Perform regression testing and validation to ensure model stability and reliability.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Build data visualizations and dashboards to communicate findings to stakeholders.
________________________________________
Required Skills:
• Strong knowledge of Python and relevant data science libraries (NumPy, Pandas, Scikit-learn, etc.)
• Expertise in machine learning algorithms (classification, regression, clustering, etc.)
• Proficient in statistical analysis and predictive analytics techniques
• Hands-on experience with data mining and data cleaning techniques
• Working knowledge of SQL and data querying
• Familiarity with model evaluation metrics and A/B testing
• Excellent analytical thinking, problem-solving skills, and attention to detail
________________________________________
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 2+ years of experience in a data science, analytics, or modeling role.
Responsibilities
Key Responsibilities:
• Develop and deploy machine learning models for business-critical use cases across functions like supply chain, customer analytics, pricing, etc.
• Apply statistical modeling, predictive modeling, and advanced analytics to identify key trends and generate actionable insights.
• Conduct deep data analysis and exploratory research to solve complex business problems.
• Use data mining techniques to extract meaningful patterns from large structured and unstructured datasets.
• Perform regression testing and validation to ensure model stability and reliability.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions.
• Build data visualizations and dashboards to communicate findings to stakeholders.
________________________________________
Required Skills:
• Strong knowledge of Python and relevant data science libraries (NumPy, Pandas, Scikit-learn, etc.)
• Expertise in machine learning algorithms (classification, regression, clustering, etc.)
• Proficient in statistical analysis and predictive analytics techniques
• Hands-on experience with data mining and data cleaning techniques
• Working knowledge of SQL and data querying
• Familiarity with model evaluation metrics and A/B testing
• Excellent analytical thinking, problem-solving skills, and attention to detail
________________________________________
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 2+ years of experience in a data science, analytics, or modeling role.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
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.? Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus.? 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? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? 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:
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.? Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus.? 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? Strong experience in architecting ?fit-for-purpose? and ?fit-for-use? complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS] ? 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
Desirable Skills :
? Excellent interpersonal, organizational, written communication, oral communication and listening skills? Should come up with the work estimation and should provide inputs to managers on resource and risk planning.? 3. Ability to coordinate with SMEs , stakeholders, manage timelines, escalation & provide on time status
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
TIBCO BW CE/6.x Developer
1. 5+ years of hands-on development experience across application integration using TIBCO stack of products.
2. At least 2 years of working experience on TIBCO BW6 / BWCE.
3. Strong technical experience in TIBCO BW 6/BWCE(container edition) and EMS.
4. Experience working on Jenkins CI/CD pipeline and supporting containerized runtime environments (such as Maven,Docker, Kubernetes).(Optional)
5. Good understanding of XSD, XML, XSLT, XPATH, JSON, Webservice- SOAP and REST.
6. Good to have experience /knowledge on SQL.
7. Knowledge on TIBCO Mashery/ Grafana is plus.
8. Should have knowledge on Jenkins Pipeline deployments.
9. Should have experience at least one monitoring tool.
10. Should have knowledge on TIBCO BW administration
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
