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Preferred Skills • Amazon QuickSight Dashboard Development • Experience with multiple BI tools (Tableau, Power BI, Qlik Sense, IBM Cognos) • Data Visualization & Analytics • SQL and Data Modeling • AWS Analytics Services Role Overview We are looking for an talented professional who is responsible to design, develop, and maintain enterprise-grade dashboards and self-service analytics solutions using Amazon QuickSight. The ideal candidate should have strong expertise in QuickSight along with hands-on experience in one or more leading BI platforms such as Tableau, Power BI, Qlik Sense, Cognos. The role involves collaborating with business and data engineering teams to deliver scalable, interactive, and high-performance reporting solutions that enable data-driven decision making. Key Responsibilities Dashboard Development • Design, develop, and maintain interactive dashboards, reports, and analyses using Amazon QuickSight. • Build intuitive visualizations that provide actionable business insights. • Develop reusable dashboard templates and standardized reporting frameworks. • Design dashboards optimized for performance, usability, and scalability. Data Modeling & Analytics • Develop and optimize datasets, joins, calculated fields, and business metrics. • Create KPIs, scorecards, trend analysis, and executive dashboards. • Build drill-down, drill-through, filters, parameters, and navigation flows. • Design BI-ready semantic datasets for business consumption. • Work closely with business stakeholders to understand reporting requirements and translate them into effective visualization solutions. AWS Integration • Connect QuickSight with AWS data sources including Amazon Redshift, Amazon Athena, Amazon S3, AWS Glue Data Catalog, and other supported databases. • Optimize SPICE datasets and direct query performance. • Ensure efficient dataset refresh schedules and access management. Performance Optimization • Optimize dashboard performance for large datasets. • Improve SQL queries and dataset design for faster report rendering. • Monitor dashboard performance and recommend improvements. • Implement best practices for scalable BI development. Self-Service Analytics • Enable business users with self-service reporting capabilities. • Develop reusable datasets and governed data models. • Support business users in creating ad-hoc analyses. • Provide documentation, training, and knowledge transfer. Required Qualifications • 5–8+ years of experience in Business Intelligence, Data Analytics, or Data Visualization. • Strong hands-on experience developing dashboards using Amazon QuickSight. • Experience with one or more BI platforms such as Tableau, Microsoft Power BI, Qlik Sense, Looker, SAP BusinessObjects, or similar. • Strong proficiency in SQL for data analysis and reporting. • Good understanding of dimensional data modeling, star schema, fact tables, and dimension tables. • Experience working with AWS analytics services including: o Amazon Redshift o Amazon Athena o Amazon S3 o AWS Glue Data Catalog • Experience building executive dashboards, operational reports, and KPI scorecards. • Understanding of SPICE, Direct Query, Row-Level Security (RLS), and dataset optimization. • Ability to translate business requirements into effective visualization solutions. • Experience working in Agile development environments. Good to Have • Knowledge of Python for data preparation and automation. • Familiarity with AWS Lambda and Step Functions for analytics workflow integration. • Experience with Amazon Redshift performance optimization. • Exposure to Iceberg tables and modern data lake architectures. • Understanding of data governance, metadata management, and security best practices. • Experience integrating QuickSight with enterprise authentication (IAM, SSO, Identity Center). Soft Skills • Strong analytical and problem-solving abilities. • Excellent communication and stakeholder management skills. • Ability to work independently and collaboratively with cross-functional teams. • Strong documentation and presentation skills. • Customer-focused mindset with attention to detail and quality.

Responsibilities

Preferred Skills • Amazon QuickSight Dashboard Development • Experience with multiple BI tools (Tableau, Power BI, Qlik Sense, IBM Cognos) • Data Visualization & Analytics • SQL and Data Modeling • AWS Analytics Services Role Overview We are looking for an talented professional who is responsible to design, develop, and maintain enterprise-grade dashboards and self-service analytics solutions using Amazon QuickSight. The ideal candidate should have strong expertise in QuickSight along with hands-on experience in one or more leading BI platforms such as Tableau, Power BI, Qlik Sense, Cognos. The role involves collaborating with business and data engineering teams to deliver scalable, interactive, and high-performance reporting solutions that enable data-driven decision making. Key Responsibilities Dashboard Development • Design, develop, and maintain interactive dashboards, reports, and analyses using Amazon QuickSight. • Build intuitive visualizations that provide actionable business insights. • Develop reusable dashboard templates and standardized reporting frameworks. • Design dashboards optimized for performance, usability, and scalability. Data Modeling & Analytics • Develop and optimize datasets, joins, calculated fields, and business metrics. • Create KPIs, scorecards, trend analysis, and executive dashboards. • Build drill-down, drill-through, filters, parameters, and navigation flows. • Design BI-ready semantic datasets for business consumption. • Work closely with business stakeholders to understand reporting requirements and translate them into effective visualization solutions. AWS Integration • Connect QuickSight with AWS data sources including Amazon Redshift, Amazon Athena, Amazon S3, AWS Glue Data Catalog, and other supported databases. • Optimize SPICE datasets and direct query performance. • Ensure efficient dataset refresh schedules and access management. Performance Optimization • Optimize dashboard performance for large datasets. • Improve SQL queries and dataset design for faster report rendering. • Monitor dashboard performance and recommend improvements. • Implement best practices for scalable BI development. Self-Service Analytics • Enable business users with self-service reporting capabilities. • Develop reusable datasets and governed data models. • Support business users in creating ad-hoc analyses. • Provide documentation, training, and knowledge transfer. Required Qualifications • 5–8+ years of experience in Business Intelligence, Data Analytics, or Data Visualization. • Strong hands-on experience developing dashboards using Amazon QuickSight. • Experience with one or more BI platforms such as Tableau, Microsoft Power BI, Qlik Sense, Looker, SAP BusinessObjects, or similar. • Strong proficiency in SQL for data analysis and reporting. • Good understanding of dimensional data modeling, star schema, fact tables, and dimension tables. • Experience working with AWS analytics services including: o Amazon Redshift o Amazon Athena o Amazon S3 o AWS Glue Data Catalog • Experience building executive dashboards, operational reports, and KPI scorecards. • Understanding of SPICE, Direct Query, Row-Level Security (RLS), and dataset optimization. • Ability to translate business requirements into effective visualization solutions. • Experience working in Agile development environments. Good to Have • Knowledge of Python for data preparation and automation. • Familiarity with AWS Lambda and Step Functions for analytics workflow integration. • Experience with Amazon Redshift performance optimization. • Exposure to Iceberg tables and modern data lake architectures. • Understanding of data governance, metadata management, and security best practices. • Experience integrating QuickSight with enterprise authentication (IAM, SSO, Identity Center). Soft Skills • Strong analytical and problem-solving abilities. • Excellent communication and stakeholder management skills. • Ability to work independently and collaboratively with cross-functional teams. • Strong documentation and presentation skills. • Customer-focused mindset with attention to detail and quality.
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :BI Engineer

Job Description

Java MSB + Azure + GHCP Exp: 7+ Location- Pan India Work Model : Remote

Responsibilities

Java MSB + Azure + GHCP Exp: 7+ Location- Pan India Work Model : Remote
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Java MSB + Azure + GHCP

Job Description

Preferred Skills • ETL Development • AWS ETL Services • Data Pipeline Development • SQL & Python Programming • Data Warehousing Detailed Responsibilities & Skills Must Have Technical Skills Strong hands-on experience with: • AWS ETL Services (Glue, Lambda, Step Functions) • AWS AppFlow (mainly ODATA connector) • AWS Database Migration Service (DMS) • OData Services and API Integration • Amazon Redshift • Data Lake & Amazon S3 • Python, PySpark, SQL, Data Modeling • Data Modeling & ETL Development • Data Quality & Performance Optimization • Enterprise Data Integration (SAP, Oracle, Azure, Oracle Cloud) Key Responsibilities • Design, develop, and maintain scalable ETL pipelines using AWS Glue, Lambda, Step Functions, and Redshift. • Build and orchestrate AWS workflows using Master, Parent, and Child Step Functions to execute Glue jobs and Redshift stored procedures. • Develop optimized Glue jobs using Python and PySpark, ensuring efficient DPU utilization and performance tuning. • Design and implement data ingestion pipelines from multiple enterprise data sources including SAP, Oracle Database, Oracle Cloud, Azure, and other heterogeneous systems. • Capture change data / delta data to ingestion layer. • Store, transform, and manage data in Amazon S3 (Object Store, Iceberg Tables) and Amazon Redshift. • Perform data cleansing, transformation, and validation to ensure high data quality and reliability. • Identify opportunities to improve ETL performance, data quality, and overall pipeline efficiency. • Design and implement data models, including fact and dimension tables, to support reporting and analytics. • Transform unstructured and semi-structured data into structured datasets suitable for downstream consumption. • Develop BI-ready datasets and understand KPI calculations across multiple business domains. • Collaborate with business and analytics teams to understand reporting requirements and translate them into technical solutions. • Troubleshoot production issues and support enhancements for existing data pipelines. Additional Responsibilities • Design and develop data ingestion pipelines using AWS AppFlow, AWS DMS, OData services, APIs, and batch ingestion frameworks. • Integrate enterprise applications such as SAP (OData/CDS Services), Oracle Database, Oracle Cloud, Azure, and other heterogeneous sources with AWS data platforms. • Configure and optimize AWS DMS for full load and Change Data Capture (CDC) migration scenarios. • Build and maintain AWS AppFlow integrations for secure and automated data movement between SaaS applications and AWS services. • Troubleshoot and optimize data ingestion performance across AppFlow, DMS, Glue, and Step Functions. Required Experience • 4–8 years of experience in Data Engineering with strong AWS expertise. • Proven experience building enterprise-scale ETL pipelines on AWS. • Strong proficiency in Python, PySpark, and SQL. • Experience working with Amazon Redshift as a developer, including stored procedures and performance optimization. • Hands-on experience with AWS Step Functions for workflow orchestration. • Experience in AWS Glue job development, optimization, and Glue Crawlers. • Experience handling large datasets and optimizing ETL workloads. • Good understanding of data modeling concepts, including star schema, fact tables, and dimension tables. • Familiarity with cloud-based data lakes and modern data architectures. • Experience integrating data from enterprise applications such as SAP, Oracle, Azure, and Oracle Cloud. • Understanding of KPI calculations and preparation of analytics-ready datasets. Good to Have • Knowledge of Apache Iceberg on Amazon S3. • Experience with CI/CD for AWS data pipelines. • Exposure to Infrastructure as Code (CloudFormation/Terraform). • Understanding of data governance, data cataloging, and security best practices. • Experience with monitoring and troubleshooting AWS data services. Soft Skills • Strong analytical and problem-solving skills. • Good communication and stakeholder management. • Ability to work independently as well as within cross-functional teams. • Strong documentation and knowledge-sharing practices. • Ability to work in an Agile development environment.

Responsibilities

Preferred Skills • ETL Development • AWS ETL Services • Data Pipeline Development • SQL & Python Programming • Data Warehousing Detailed Responsibilities & Skills Must Have Technical Skills Strong hands-on experience with: • AWS ETL Services (Glue, Lambda, Step Functions) • AWS AppFlow (mainly ODATA connector) • AWS Database Migration Service (DMS) • OData Services and API Integration • Amazon Redshift • Data Lake & Amazon S3 • Python, PySpark, SQL, Data Modeling • Data Modeling & ETL Development • Data Quality & Performance Optimization • Enterprise Data Integration (SAP, Oracle, Azure, Oracle Cloud) Key Responsibilities • Design, develop, and maintain scalable ETL pipelines using AWS Glue, Lambda, Step Functions, and Redshift. • Build and orchestrate AWS workflows using Master, Parent, and Child Step Functions to execute Glue jobs and Redshift stored procedures. • Develop optimized Glue jobs using Python and PySpark, ensuring efficient DPU utilization and performance tuning. • Design and implement data ingestion pipelines from multiple enterprise data sources including SAP, Oracle Database, Oracle Cloud, Azure, and other heterogeneous systems. • Capture change data / delta data to ingestion layer. • Store, transform, and manage data in Amazon S3 (Object Store, Iceberg Tables) and Amazon Redshift. • Perform data cleansing, transformation, and validation to ensure high data quality and reliability. • Identify opportunities to improve ETL performance, data quality, and overall pipeline efficiency. • Design and implement data models, including fact and dimension tables, to support reporting and analytics. • Transform unstructured and semi-structured data into structured datasets suitable for downstream consumption. • Develop BI-ready datasets and understand KPI calculations across multiple business domains. • Collaborate with business and analytics teams to understand reporting requirements and translate them into technical solutions. • Troubleshoot production issues and support enhancements for existing data pipelines. Additional Responsibilities • Design and develop data ingestion pipelines using AWS AppFlow, AWS DMS, OData services, APIs, and batch ingestion frameworks. • Integrate enterprise applications such as SAP (OData/CDS Services), Oracle Database, Oracle Cloud, Azure, and other heterogeneous sources with AWS data platforms. • Configure and optimize AWS DMS for full load and Change Data Capture (CDC) migration scenarios. • Build and maintain AWS AppFlow integrations for secure and automated data movement between SaaS applications and AWS services. • Troubleshoot and optimize data ingestion performance across AppFlow, DMS, Glue, and Step Functions. Required Experience • 4–8 years of experience in Data Engineering with strong AWS expertise. • Proven experience building enterprise-scale ETL pipelines on AWS. • Strong proficiency in Python, PySpark, and SQL. • Experience working with Amazon Redshift as a developer, including stored procedures and performance optimization. • Hands-on experience with AWS Step Functions for workflow orchestration. • Experience in AWS Glue job development, optimization, and Glue Crawlers. • Experience handling large datasets and optimizing ETL workloads. • Good understanding of data modeling concepts, including star schema, fact tables, and dimension tables. • Familiarity with cloud-based data lakes and modern data architectures. • Experience integrating data from enterprise applications such as SAP, Oracle, Azure, and Oracle Cloud. • Understanding of KPI calculations and preparation of analytics-ready datasets. Good to Have • Knowledge of Apache Iceberg on Amazon S3. • Experience with CI/CD for AWS data pipelines. • Exposure to Infrastructure as Code (CloudFormation/Terraform). • Understanding of data governance, data cataloging, and security best practices. • Experience with monitoring and troubleshooting AWS data services. Soft Skills • Strong analytical and problem-solving skills. • Good communication and stakeholder management. • Ability to work independently as well as within cross-functional teams. • Strong documentation and knowledge-sharing practices. • Ability to work in an Agile development environment.
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :AWS Data Engineer

Job Description

Job Summary We are seeking a ServiceNow Developer with strong experience in ITSM processes, ServiceNow Scripting, Flow Designer, and Integrations. You will design and deliver scalable solutions across Service Catalog and ITSM modules, build secure integrations with external systems, and enforce development best practices to ensure performance, reliability, and maintainability. Roles & Responsibilities: Engage with stakeholders to understand user stories and determine requirements. Engage in Solution Design after all the required analysis and complete the development. Provide guidance on what configuration vs customization is with a focus on solutions that remain close to out of box functionality as possible. Customize and develop ServiceNow applications and support rollout of new applications and modules. Configure Application UIs and Workflows Demonstrate understanding of application modules including Incident, Problem, Change, Release, Asset, CMDB, Knowledge, and Self-service Portal. Create custom reports and dashboards with supporting metrics and KPIs that adhere to best practices and have a high focus on impact to instance performance Collaborate with other ServiceNow administrators and developers to develop effectively with a global focus Be diligent in maintaining consistency in code alignment across instances and in clean code in update sets Perform data imports and transformations using Import Sets, Transform Maps, and scheduled loads. Implement ACLs, roles, and properties to maintain platform security and data privacy. Experience: 3 to 5 years of experience working in a design and development role for a ServiceNow Platform. 2+ years of experience as a ServiceNow administrator. Experience with ITSM,CMDB, Service Catalog, Workflows and Flow Designer, Integrations, Service Portal within ServiceNow Understanding of Web Service and APIs. Experience developing workflows and supporting service technology teams

Responsibilities

Job Summary We are seeking a ServiceNow Developer with strong experience in ITSM processes, ServiceNow Scripting, Flow Designer, and Integrations. You will design and deliver scalable solutions across Service Catalog and ITSM modules, build secure integrations with external systems, and enforce development best practices to ensure performance, reliability, and maintainability. Roles & Responsibilities: Engage with stakeholders to understand user stories and determine requirements. Engage in Solution Design after all the required analysis and complete the development. Provide guidance on what configuration vs customization is with a focus on solutions that remain close to out of box functionality as possible. Customize and develop ServiceNow applications and support rollout of new applications and modules. Configure Application UIs and Workflows Demonstrate understanding of application modules including Incident, Problem, Change, Release, Asset, CMDB, Knowledge, and Self-service Portal. Create custom reports and dashboards with supporting metrics and KPIs that adhere to best practices and have a high focus on impact to instance performance Collaborate with other ServiceNow administrators and developers to develop effectively with a global focus Be diligent in maintaining consistency in code alignment across instances and in clean code in update sets Perform data imports and transformations using Import Sets, Transform Maps, and scheduled loads. Implement ACLs, roles, and properties to maintain platform security and data privacy. Experience: 3 to 5 years of experience working in a design and development role for a ServiceNow Platform. 2+ years of experience as a ServiceNow administrator. Experience with ITSM,CMDB, Service Catalog, Workflows and Flow Designer, Integrations, Service Portal within ServiceNow Understanding of Web Service and APIs. Experience developing workflows and supporting service technology teams
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :service now developer

Job Description

1. Strong experience with Azure cloud services and cloud-native application development. 2. Strong experience with GHCP and related platform capabilities. 3. Intermediate-level Java and Spring Boot skills for developing, enhancing, and supporting microservices and API-based applications (expert-level Java expertise is not required). 4. Experience with CI/CD pipelines, DevOps practices, containerization, and cloud deployment models.

Responsibilities

1. Strong experience with Azure cloud services and cloud-native application development. 2. Strong experience with GHCP and related platform capabilities. 3. Intermediate-level Java and Spring Boot skills for developing, enhancing, and supporting microservices and API-based applications (expert-level Java expertise is not required). 4. Experience with CI/CD pipelines, DevOps practices, containerization, and cloud deployment models.
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Azure Cloud + github

Job Description

Key Responsibilities Coordinate and support Learning & Development (L&D) operations and programs. Manage training administration, scheduling, and participant communication. Maintain training records, reports, and learning-related documentation. Coordinate with stakeholders for training logistics and execution. Support learning management systems (LMS) and training data management. Track training completion, feedback, and learning metrics. Ensure smooth execution of learning initiatives and operational processes. Preferred Skills 2–3 years of experience in Learning & Development Operations, Training Coordination, HR Operations, or a similar role. Strong communication and stakeholder management skills. Good knowledge of MS Excel, PowerPoint, and reporting tools. Experience working with Learning Management Systems (LMS) is preferred. Strong organizational and coordination skills.

Responsibilities

Key Responsibilities Coordinate and support Learning & Development (L&D) operations and programs. Manage training administration, scheduling, and participant communication. Maintain training records, reports, and learning-related documentation. Coordinate with stakeholders for training logistics and execution. Support learning management systems (LMS) and training data management. Track training completion, feedback, and learning metrics. Ensure smooth execution of learning initiatives and operational processes. Preferred Skills 2–3 years of experience in Learning & Development Operations, Training Coordination, HR Operations, or a similar role. Strong communication and stakeholder management skills. Good knowledge of MS Excel, PowerPoint, and reporting tools. Experience working with Learning Management Systems (LMS) is preferred. Strong organizational and coordination skills.
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Learning & Development Operations

Job Description

Skills - Project & Program Management, Status Tracking, Jira tool, Internal & External communication, Weekly deck and project status update, Hands-on Banking domain/client experience JD - Looking for an experienced Project & Program Manager with strong Banking domain knowledge to manage end-to-end project delivery, track project status using Jira. The candidate should be skilled in preparing weekly status decks, handling internal & external stakeholder communication, and driving project governance through risk, issue, and milestone tracking. Excellent communication, presentation, and cross-functional team coordination skills will be needed.

Responsibilities

Skills - Project & Program Management, Status Tracking, Jira tool, Internal & External communication, Weekly deck and project status update, Hands-on Banking domain/client experience JD - Looking for an experienced Project & Program Manager with strong Banking domain knowledge to manage end-to-end project delivery, track project status using Jira. The candidate should be skilled in preparing weekly status decks, handling internal & external stakeholder communication, and driving project governance through risk, issue, and milestone tracking. Excellent communication, presentation, and cross-functional team coordination skills will be needed.
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Project Manager

Job Description

Job Description - Experienced SAP TM Functional Consultant to lead the implementation, configuration, and support of SAP Transportation Management solutions. The ideal candidate will gather and analyze business requirements, design end-to-end transportation and logistics processes, and configure SAP TM modules covering order management, freight planning, execution, carrier selection, route optimization, charge calculation, and freight settlement. Key responsibilities include conducting stakeholder workshops, preparing functional specifications, integrating SAP TM with related modules (SD, MM, EWM, and S/4HANA), collaborating with technical/ABAP teams, supporting testing (unit, integration, UAT), and providing end-user training and post-go-live support.

Responsibilities

Job Description - Experienced SAP TM Functional Consultant to lead the implementation, configuration, and support of SAP Transportation Management solutions. The ideal candidate will gather and analyze business requirements, design end-to-end transportation and logistics processes, and configure SAP TM modules covering order management, freight planning, execution, carrier selection, route optimization, charge calculation, and freight settlement. Key responsibilities include conducting stakeholder workshops, preparing functional specifications, integrating SAP TM with related modules (SD, MM, EWM, and S/4HANA), collaborating with technical/ABAP teams, supporting testing (unit, integration, UAT), and providing end-user training and post-go-live support.
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :SAP TM Functional Consultant

Job Description

SAP Ariba

Responsibilities

SAP Ariba
  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :SAP Ariba