Digital: Microsoft Power BI
Job Description:
Proven experience in migrating report from SAP BO to Power Bi
Strong experience in Power BI (DAX, Power query, Data Modeling)
Advanced SQL skills (Oracle/SQL Server)
Experience in report validation and reconciliation between BO and Power BI.
Good to have:
Experience with Power BI Service.
Experience with BO CMC, Security and Scheduling
Knowledge of BO SDK/REST APIs for Metadata extraction
Experience in performance optimization of large datasets.
Ability to create equivalent unsupported Cognos functionalities/features in Power BI
Responsibilities
Job Description:
Proven experience in migrating report from SAP BO to Power Bi
Strong experience in Power BI (DAX, Power query, Data Modeling)
Advanced SQL skills (Oracle/SQL Server)
Experience in report validation and reconciliation between BO and Power BI.
Good to have:
Experience with Power BI Service.
Experience with BO CMC, Security and Scheduling
Knowledge of BO SDK/REST APIs for Metadata extraction
Experience in performance optimization of large datasets.
Ability to create equivalent unsupported Cognos functionalities/features in Power BI
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application development tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Strong understanding of application design principles and methodologies.- Experience with database management and optimization techniques.- Familiarity with integration processes and tools within SAP environments.- Ability to troubleshoot and resolve application issues effectively. Additional Information: - The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based in Mumbai.- A 15 years full time education is required.
Responsibilities
As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications, while continuously seeking opportunities for improvement and innovation in application development. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application development tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Strong understanding of application design principles and methodologies.- Experience with database management and optimization techniques.- Familiarity with integration processes and tools within SAP environments.- Ability to troubleshoot and resolve application issues effectively. Additional Information: - The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based in Mumbai.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 2,10,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Informatica CDI (Cloud Data Integration)
Must Have Technical/Functional Skills
· 3–6 years of experience in ETL development and data integration.
· Hands-on experience with Matillion (preferred) or strong expertise in Ab Initio, Informatica,
or DataStage
· Strong SQL skills and experience with relational databases (Oracle, SQL Server, etc.).
· Knowledge of data warehousing concepts and dimensional modeling.
· Experience with scheduling tools and job monitoring.
· Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
· Strong problem-solving and analytical skills.
· Experience with scripting languages (Python, Shell) and Knowledge of big data technologies
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Network Routing(WAN Technology)
Role Descriptions: Key ResponsibilitiesNetwork MonitoringContinuously monitor network devices| links| and services using NOC tools and dashboards.Identify and escalate alerts or anomalies promptly.Incident Ticket ManagementHandle tickets as per SOP-based troubleshooting guidelines.Ensure timely resolution or escalation to L2L3 teams when required.Coordination CommunicationCollaborate with OSS teams for operational support and issue resolution.Coordinate with Telco vendors for link-related issues and outages.Work closely with the Service Desk and other cross-functional teams to ensure seamless operations.Communicate effectively with clients regarding incident status and updates.Documentation ReportingMaintain accurate records of incidents| actions taken| and resolutions.Prepare dailyweekly reports on network health and ticket status
Essential Skills: Role OverviewThe NOC Network L1 Engineer will be responsible for monitoring network infrastructure| handling incidents and service requests| and ensuring smooth coordination between internal teams| service providers| and clients. This role requires adherence to Standard Operating Procedures (SOPs) for troubleshooting and proactive communication to maintain high service availabilityRequired Skills QualificationsBasic understanding of networking concepts (TCPIP| DNS| DHCP| Routing| Switching).Familiarity with NOC monitoring tools and ticketing systems.Strong troubleshooting skills following SOPs.Excellent communication and coordination abilities.Ability to work in a 24x7 shift environment.Preferred QualificationsCertification in networking (CCNA| CompTIA Network| or equivalent).Experience in telecom or ISP environments
Responsibilities
Role Descriptions: Key ResponsibilitiesNetwork MonitoringContinuously monitor network devices| links| and services using NOC tools and dashboards.Identify and escalate alerts or anomalies promptly.Incident Ticket ManagementHandle tickets as per SOP-based troubleshooting guidelines.Ensure timely resolution or escalation to L2L3 teams when required.Coordination CommunicationCollaborate with OSS teams for operational support and issue resolution.Coordinate with Telco vendors for link-related issues and outages.Work closely with the Service Desk and other cross-functional teams to ensure seamless operations.Communicate effectively with clients regarding incident status and updates.Documentation ReportingMaintain accurate records of incidents| actions taken| and resolutions.Prepare dailyweekly reports on network health and ticket status
Essential Skills: Role OverviewThe NOC Network L1 Engineer will be responsible for monitoring network infrastructure| handling incidents and service requests| and ensuring smooth coordination between internal teams| service providers| and clients. This role requires adherence to Standard Operating Procedures (SOPs) for troubleshooting and proactive communication to maintain high service availabilityRequired Skills QualificationsBasic understanding of networking concepts (TCPIP| DNS| DHCP| Routing| Switching).Familiarity with NOC monitoring tools and ticketing systems.Strong troubleshooting skills following SOPs.Excellent communication and coordination abilities.Ability to work in a 24x7 shift environment.Preferred QualificationsCertification in networking (CCNA| CompTIA Network| or equivalent).Experience in telecom or ISP environments
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Traditional AI/ML Developer
We are seeking an experienced Senior AI/ML Developer to lead the development and deployment of robust AI-driven solutions. The ideal candidate will leverage their extensive background in artificial intelligence, machine learning, and data science to address complex business needs and guide the team towards innovation
Must Have Skills
· Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
· Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.
· Strong understanding of core machine learning and statistical concepts — including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization.
· Hands-on experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision.
· Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
· Familiarity with deep learning architectures — CNNs, RNNs, Transformers — and use cases in NLP, CV, and recommendation systems.
· Experience with data preprocessing, feature selection, model evaluation, and hyperparameter tuning techniques.
· Ability to design and deploy scalable ML pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable.
· Familiarity with API development, microservices, and integrating ML models into enterprise applications.
· Understanding of data security, governance, and cost optimization in cloud-based AI environments.
· Experience in AWS AI and ML services, including SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch, for model deployment and orchestration.
· Ability to work with containerization tools (Docker, Kubernetes) for deploying ML workloads.
Nice to have skills:
· Strong knowledge of data storage and processing frameworks, including Amazon S3, Redshift, Glue, Athena, or Azure Data Lake and Synapse
· Understanding of MLOps frameworks (MLflow, Kubeflow, or Vertex AI Pipelines).
· Knowledge of AI governance, responsible AI, and ethical AI frameworks.
· Hands-on experience with Git-based CI/CD, Agile delivery, and DevOps/MLOps automation.
· Hands-on experience with MLOps tools and practices for automating model training, deployment, and monitoring.
· Proven experience in designing and implementing Extract, Transform, Load (ETL) processes
· Knowledge of data visualization tools like Tableau or Power BI.
· Strong problem-solving and analytical skills, with the abilit
Responsibilities
We are seeking an experienced Senior AI/ML Developer to lead the development and deployment of robust AI-driven solutions. The ideal candidate will leverage their extensive background in artificial intelligence, machine learning, and data science to address complex business needs and guide the team towards innovation
Must Have Skills
· Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
· Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.
· Strong understanding of core machine learning and statistical concepts — including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization.
· Hands-on experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision.
· Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
· Familiarity with deep learning architectures — CNNs, RNNs, Transformers — and use cases in NLP, CV, and recommendation systems.
· Experience with data preprocessing, feature selection, model evaluation, and hyperparameter tuning techniques.
· Ability to design and deploy scalable ML pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable.
· Familiarity with API development, microservices, and integrating ML models into enterprise applications.
· Understanding of data security, governance, and cost optimization in cloud-based AI environments.
· Experience in AWS AI and ML services, including SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch, for model deployment and orchestration.
· Ability to work with containerization tools (Docker, Kubernetes) for deploying ML workloads.
Nice to have skills:
· Strong knowledge of data storage and processing frameworks, including Amazon S3, Redshift, Glue, Athena, or Azure Data Lake and Synapse
· Understanding of MLOps frameworks (MLflow, Kubeflow, or Vertex AI Pipelines).
· Knowledge of AI governance, responsible AI, and ethical AI frameworks.
· Hands-on experience with Git-based CI/CD, Agile delivery, and DevOps/MLOps automation.
· Hands-on experience with MLOps tools and practices for automating model training, deployment, and monitoring.
· Proven experience in designing and implementing Extract, Transform, Load (ETL) processes
· Knowledge of data visualization tools like Tableau or Power BI.
· Strong problem-solving and analytical skills, with the abilit
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
AWS Data Engineer
Bachelors/Masters/Computer Science/Equivalent engineering
· Previous Work Experience: 3-7 years (Bachelor Degree holders)
· In-depth experience with various AWS data services, including Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, and Amazon EMR, SQS, SNS, Step Functions, Event Bridge.
· Ability to design, implement, and maintain scalable data pipelines using AWS services.
· Strong proficiency in big data technologies such as Apache Spark and Apache Hadoop for processing and analyzing large datasets.
· Hands-on experience with database management systems such as Amazon RDS, DynamoDB, and others.
· Good knowledge in AWS OpenSearch.
· Experience in data ingestion services like AWS AppFlow, DMS, AWS Glue etc.
· Hands on experience on developing REST API’s using AWS API Gateway.
· Experience in real time and batch data processing in AWS environment utilizing services like Kinesis firehose, AWS Glue, AWS Lambda etc.
· Proficiency in programming languages such as Python, PySpark for building data applications and ETL processes.
· Strong scripting skills for automation and orchestration of data workflows.
· Solid understanding of data warehousing concepts and best practices.
· Experience in designing and managing data warehouses on AWS Redshift or similar platforms.
· Proven experience in designing and implementing Extract, Transform, Load (ETL) processes.
· Knowledge of AWS security best practices and the ability to implement secure data solutions.
· Knowledge of monitoring logs, create alerts, dashboards in AWS CloudWatch.
· Understanding of version control systems, such as Git.
· Have AWS associate or professional level certification.
Nice to have skills:
· Experience with Agile and DevOps concepts.
· Understanding of networking principles, including VPC design, subnets, and security groups.
· Experience with containerization tools such as Docker and orchestration tools like Kubernetes.
· Ability to deploy and manage data applications using containerized solutions.
· Familiarity with integrating machine learning models into data pipelines.
· Knowledge of AWS SageMaker or other machine learning platforms.
· Experience in AWS Bedrock for GEN AI integration
· Knowledge of monitoring tools for tracking the performance and health of data systems.
· Ability to optimize and fine-tune data pipelines for efficiency.
· Experience in AWS s
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
