Description:
We are looking for a SAP Controlling Consultant to support the Controlling workstream for a Brownfield+ migration project. The role will focus on SAP Controlling processes, migration readiness, testing, defect resolution, and business support across the project lifecycle.
Support the SAP Controlling workstream for a Brownfield+ migration project.
Review and validate existing Controlling processes, configurations, and master data.
Support assessment and readiness activities for SAP Controlling migration.
Work on Controlling-related configuration and validation areas, such as:
Cost Center Accounting
Profit Center Accounting
Internal Orders
Cost elements
Activity types
Allocations and assessments
Planning and budgeting
Product Costing
Profitability Analysis Costing based and Account based
Responsibilities
Description:
We are looking for a SAP Controlling Consultant to support the Controlling workstream for a Brownfield+ migration project. The role will focus on SAP Controlling processes, migration readiness, testing, defect resolution, and business support across the project lifecycle.
Support the SAP Controlling workstream for a Brownfield+ migration project.
Review and validate existing Controlling processes, configurations, and master data.
Support assessment and readiness activities for SAP Controlling migration.
Work on Controlling-related configuration and validation areas, such as:
Cost Center Accounting
Profit Center Accounting
Internal Orders
Cost elements
Activity types
Allocations and assessments
Planning and budgeting
Product Costing
Profitability Analysis Costing based and Account based
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Design & Development: Build and maintain interactive Qlik Sense dashboards and data visualizations that meet banking business requirements (e.g., risk analytics, retail banking performance, compliance reporting).
• Data Modeling & ETL: Create robust data models, perform complex SQL queries, and develop ELT/ETL workflows in relational databases (Oracle, MS SQL Server, PostgreSQL) to source and cleanse financial data.
• Domain Expertise: Apply banking domain knowledge (transactions, KYC, AML, credit risk, loan lifecycle) to translate functional specifications into actionable insights.
• Performance Optimization: Tune Qlik Sense applications and SQL scripts for high volume data sets, ensuring fast load times and responsive user experience.
• Collaboration & Stakeholder Management: Liaise with business analysts, product owners, and compliance teams to gather requirements, provide technical guidance, and deliver solutions on schedule.
• Banking Domain Expertise:
o Work across key corporate banking areas:
Corporate Lending & Credit Risk
Trade Finance (LCs, Guarantees, Documentary Collections)
Cash Management & Treasury Services
Client Onboarding & KYC/AML Compliance
o Understand corporate client lifecycle, credit appraisal processes, and regulatory frameworks.
o Ensure solutions comply with banking regulations and risk guidelines.
Responsibilities
• Design & Development: Build and maintain interactive Qlik Sense dashboards and data visualizations that meet banking business requirements (e.g., risk analytics, retail banking performance, compliance reporting).
• Data Modeling & ETL: Create robust data models, perform complex SQL queries, and develop ELT/ETL workflows in relational databases (Oracle, MS SQL Server, PostgreSQL) to source and cleanse financial data.
• Domain Expertise: Apply banking domain knowledge (transactions, KYC, AML, credit risk, loan lifecycle) to translate functional specifications into actionable insights.
• Performance Optimization: Tune Qlik Sense applications and SQL scripts for high volume data sets, ensuring fast load times and responsive user experience.
• Collaboration & Stakeholder Management: Liaise with business analysts, product owners, and compliance teams to gather requirements, provide technical guidance, and deliver solutions on schedule.
• Banking Domain Expertise:
o Work across key corporate banking areas:
Corporate Lending & Credit Risk
Trade Finance (LCs, Guarantees, Documentary Collections)
Cash Management & Treasury Services
Client Onboarding & KYC/AML Compliance
o Understand corporate client lifecycle, credit appraisal processes, and regulatory frameworks.
o Ensure solutions comply with banking regulations and risk guidelines.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying problems, analyzing system behavior, and ensuring smooth operation of critical applications. The position demands continuous monitoring, collaboration with different teams, and delivering timely solutions to maintain system reliability and performance in a dynamic business environment. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand system requirements and troubleshoot complex issues.- Document findings and solutions clearly to support knowledge sharing and future reference.- Assist in the continuous improvement of support processes and tools to enhance service delivery.- Provide guidance and support to junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle JD Edwards EnterpriseOne Object Management Workbench Development.- Strong problem-solving skills with the ability to analyze and resolve technical issues efficiently.- Experience in managing and supporting enterprise-level business applications.- Ability to work collaboratively within a team and communicate effectively with stakeholders.- Familiarity with software debugging and diagnostic tools to identify root causes of system problems. Additional Information: - The candidate should have minimum 2 years of experience in Oracle JD Edwards EnterpriseOne Object Management Workbench Development.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Responsibilities
As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying problems, analyzing system behavior, and ensuring smooth operation of critical applications. The position demands continuous monitoring, collaboration with different teams, and delivering timely solutions to maintain system reliability and performance in a dynamic business environment. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand system requirements and troubleshoot complex issues.- Document findings and solutions clearly to support knowledge sharing and future reference.- Assist in the continuous improvement of support processes and tools to enhance service delivery.- Provide guidance and support to junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle JD Edwards EnterpriseOne Object Management Workbench Development.- Strong problem-solving skills with the ability to analyze and resolve technical issues efficiently.- Experience in managing and supporting enterprise-level business applications.- Ability to work collaboratively within a team and communicate effectively with stakeholders.- Familiarity with software debugging and diagnostic tools to identify root causes of system problems. Additional Information: - The candidate should have minimum 2 years of experience in Oracle JD Edwards EnterpriseOne Object Management Workbench Development.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 1,20,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves designing, building, and configuring applications tailored to fulfill specific business processes and application needs. This role requires a thoughtful approach to understanding the unique requirements of various projects and translating them into effective software solutions. The workday often includes collaborating with different stakeholders to ensure that the applications developed align with organizational goals and deliver seamless user experiences. Continuous refinement and adaptation of applications to evolving business demands are integral parts of the daily routine, fostering innovation and efficiency within the team and the broader enterprise. 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.- Lead efforts to identify and implement best practices within the team to enhance productivity and quality.- Facilitate knowledge sharing and mentoring to support the growth and development of junior team members.- Coordinate cross-functional collaboration to ensure alignment of project objectives and timely delivery.- Monitor project progress and proactively address any challenges or risks that may impact outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Journey Optimizer.- Good To Have Skills: Experience with Adobe Campaign Classic.- Strong understanding of application design principles and software configuration techniques.- Ability to analyze business requirements and translate them into technical specifications.- Experience in integrating applications with various business processes to optimize performance.- Familiarity with troubleshooting and resolving complex software issues in a collaborative environment. Additional Information: - The candidate should have minimum 5 years of experience in Adobe Journey Optimizer.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Responsibilities
As a Custom Software Engineer, a typical day involves designing, building, and configuring applications tailored to fulfill specific business processes and application needs. This role requires a thoughtful approach to understanding the unique requirements of various projects and translating them into effective software solutions. The workday often includes collaborating with different stakeholders to ensure that the applications developed align with organizational goals and deliver seamless user experiences. Continuous refinement and adaptation of applications to evolving business demands are integral parts of the daily routine, fostering innovation and efficiency within the team and the broader enterprise. 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.- Lead efforts to identify and implement best practices within the team to enhance productivity and quality.- Facilitate knowledge sharing and mentoring to support the growth and development of junior team members.- Coordinate cross-functional collaboration to ensure alignment of project objectives and timely delivery.- Monitor project progress and proactively address any challenges or risks that may impact outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Journey Optimizer.- Good To Have Skills: Experience with Adobe Campaign Classic.- Strong understanding of application design principles and software configuration techniques.- Ability to analyze business requirements and translate them into technical specifications.- Experience in integrating applications with various business processes to optimize performance.- Familiarity with troubleshooting and resolving complex software issues in a collaborative environment. Additional Information: - The candidate should have minimum 5 years of experience in Adobe Journey Optimizer.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 2,45,700.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
2.1 Role Summary
You build the data backbone our engagements run on. That means designing and shipping production ETL and ELT pipelines, standing up governed lakehouse platforms, integrating messy and heterogeneous source systems, and making the resulting data trustworthy enough that both business users and AI systems can rely on it without a human checking every number.
Increasingly, that backbone also serves agentic and retrieval systems — embedding pipelines, vector and search indexes, feature stores, and the clean metadata and access controls that let an agent query enterprise data safely. You do not need to have built agents yourself, but you should be interested in engineering for that consumer, because a growing share of the practice's work depends on it.
This is a hands-on build role on small senior squads. You write the pipelines, own their reliability in production, and present your design directly to client architects. There is no layer of people between you and the client.
2.2 Key Responsibilities
Pipeline & Platform Engineering
Design, build and operate production ETL / ELT pipelines — batch and, where the use case demands it, streaming or near-real-time.
Stand up and evolve cloud lakehouse platforms using layered architectures (raw / conformed / curated, or Bronze / Silver / Gold), making and defending decisions on grain, partitioning, modelling and conformance.
Build curated, reusable data products designed to serve multiple downstream consumers — BI, ML, agentic systems and operational integrations — rather than a single point solution.
Modernise legacy pipelines and warehouses onto current tooling with a defensible migration path, parallel-run strategy and reconciliation approach.
Ingestion & Integration
Integrate heterogeneous sources: relational and NoSQL databases, REST and GraphQL APIs, SaaS connectors, event streams, flat and semi-structured files, and change-data-capture feeds.
Handle real-world source problems — authentication and token refresh, pagination, rate limits, schema drift, late-arriving and out-of-order data, backfills and idempotent reprocessing.
Work with domain-specific and awkward formats where the engagement requires it, including sensor, telemetry and instrumentation data at high frequency, and proprietary exports that need conversion before they are usable.
Data Quality, Observability & Reliability
Author and enforce data-quality rules — completeness, ranges, referential integrity, freshness, distribution shift — with quarantine handling for failing records rather than silent corruption.
Instrument pipelines for observability: run status, volumes, rejects, latency and lineage, with alerting that surfaces failures before the business finds them.
Own reliability in production — on-call or hypercare participation, root-cause analysis, and permanent fixes rather than repeated manual reruns.
Governance, Security & Cataloguing
Implement cataloguing, lineage, role-based access control and data-classification policy appropriate to the client's regulatory posture.
Maintain data dictionaries and source-to-target mappings alongside the BA, so that the platform is comprehensible to people who did not build it.
Apply masking, anonymisation and retention controls where personal or commercially sensitive data is in scope.
Data Foundations for AI & Agentic Systems
Build ingestion and preparation pipelines that feed retrieval systems — document parsing, chunking, metadata enrichment, embedding generation, incremental refresh and deletion propagation.
Provision and maintain vector stores and hybrid search indexes alongside the AI Engineer, with attention to freshness, cost and index rebuild strategy.
Build and maintain feature pipelines and feature stores for ML workloads, keeping training and serving consistent.
Expose governed, well-documented data interfaces that agents and applications can query safely — with the access boundaries an autonomous consumer requires.
Performance, Cost & Delivery
Tune for scale and cost — partitioning, file sizing, caching, compute right-sizing, incremental over full processing. Cloud spend is a design constraint, not an afterthought.
Work in fortnightly sprints, demonstrating working increments on the client's own data. Running pipelines are the deliverable; slides are not.
Produce architecture notes, runbooks and handover documentation as contracted deliverables, and support UAT, go-live and knowledge transfer.
Responsibilities
2.1 Role Summary
You build the data backbone our engagements run on. That means designing and shipping production ETL and ELT pipelines, standing up governed lakehouse platforms, integrating messy and heterogeneous source systems, and making the resulting data trustworthy enough that both business users and AI systems can rely on it without a human checking every number.
Increasingly, that backbone also serves agentic and retrieval systems — embedding pipelines, vector and search indexes, feature stores, and the clean metadata and access controls that let an agent query enterprise data safely. You do not need to have built agents yourself, but you should be interested in engineering for that consumer, because a growing share of the practice's work depends on it.
This is a hands-on build role on small senior squads. You write the pipelines, own their reliability in production, and present your design directly to client architects. There is no layer of people between you and the client.
2.2 Key Responsibilities
Pipeline & Platform Engineering
Design, build and operate production ETL / ELT pipelines — batch and, where the use case demands it, streaming or near-real-time.
Stand up and evolve cloud lakehouse platforms using layered architectures (raw / conformed / curated, or Bronze / Silver / Gold), making and defending decisions on grain, partitioning, modelling and conformance.
Build curated, reusable data products designed to serve multiple downstream consumers — BI, ML, agentic systems and operational integrations — rather than a single point solution.
Modernise legacy pipelines and warehouses onto current tooling with a defensible migration path, parallel-run strategy and reconciliation approach.
Ingestion & Integration
Integrate heterogeneous sources: relational and NoSQL databases, REST and GraphQL APIs, SaaS connectors, event streams, flat and semi-structured files, and change-data-capture feeds.
Handle real-world source problems — authentication and token refresh, pagination, rate limits, schema drift, late-arriving and out-of-order data, backfills and idempotent reprocessing.
Work with domain-specific and awkward formats where the engagement requires it, including sensor, telemetry and instrumentation data at high frequency, and proprietary exports that need conversion before they are usable.
Data Quality, Observability & Reliability
Author and enforce data-quality rules — completeness, ranges, referential integrity, freshness, distribution shift — with quarantine handling for failing records rather than silent corruption.
Instrument pipelines for observability: run status, volumes, rejects, latency and lineage, with alerting that surfaces failures before the business finds them.
Own reliability in production — on-call or hypercare participation, root-cause analysis, and permanent fixes rather than repeated manual reruns.
Governance, Security & Cataloguing
Implement cataloguing, lineage, role-based access control and data-classification policy appropriate to the client's regulatory posture.
Maintain data dictionaries and source-to-target mappings alongside the BA, so that the platform is comprehensible to people who did not build it.
Apply masking, anonymisation and retention controls where personal or commercially sensitive data is in scope.
Data Foundations for AI & Agentic Systems
Build ingestion and preparation pipelines that feed retrieval systems — document parsing, chunking, metadata enrichment, embedding generation, incremental refresh and deletion propagation.
Provision and maintain vector stores and hybrid search indexes alongside the AI Engineer, with attention to freshness, cost and index rebuild strategy.
Build and maintain feature pipelines and feature stores for ML workloads, keeping training and serving consistent.
Expose governed, well-documented data interfaces that agents and applications can query safely — with the access boundaries an autonomous consumer requires.
Performance, Cost & Delivery
Tune for scale and cost — partitioning, file sizing, caching, compute right-sizing, incremental over full processing. Cloud spend is a design constraint, not an afterthought.
Work in fortnightly sprints, demonstrating working increments on the client's own data. Running pipelines are the deliverable; slides are not.
Produce architecture notes, runbooks and handover documentation as contracted deliverables, and support UAT, go-live and knowledge transfer.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying challenges and delivering timely solutions to ensure the smooth operation of critical applications. The position demands continuous monitoring, analysis, and collaboration with different teams to maintain system stability and support business continuity effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand system issues and implement corrective actions.
- Document troubleshooting steps and resolutions to build a knowledge base for future reference.
- Assist in the testing and deployment of system updates and patches to minimize disruptions.
- Support junior team members by sharing knowledge and providing guidance when needed.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Oracle JD Edwards EnterpriseOne Distribution.
- Strong problem-solving abilities with a focus on diagnosing and resolving software issues.
- Experience in monitoring and maintaining enterprise resource planning systems.
- Ability to analyze system logs and performance metrics to identify root causes.
- Familiarity with business process workflows related to distribution and supply chain management.
- Effective communication skills to liaise with technical teams and business stakeholders.
Additional Information:
- The candidate should have minimum 2 years of experience in Oracle JD Edwards EnterpriseOne Distribution.
- This position is based at our Bengaluru office.
- A 15 years full time education is required
Responsibilities
As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying challenges and delivering timely solutions to ensure the smooth operation of critical applications. The position demands continuous monitoring, analysis, and collaboration with different teams to maintain system stability and support business continuity effectively.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand system issues and implement corrective actions.
- Document troubleshooting steps and resolutions to build a knowledge base for future reference.
- Assist in the testing and deployment of system updates and patches to minimize disruptions.
- Support junior team members by sharing knowledge and providing guidance when needed.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Oracle JD Edwards EnterpriseOne Distribution.
- Strong problem-solving abilities with a focus on diagnosing and resolving software issues.
- Experience in monitoring and maintaining enterprise resource planning systems.
- Ability to analyze system logs and performance metrics to identify root causes.
- Familiarity with business process workflows related to distribution and supply chain management.
- Effective communication skills to liaise with technical teams and business stakeholders.
Additional Information:
- The candidate should have minimum 2 years of experience in Oracle JD Edwards EnterpriseOne Distribution.
- This position is based at our Bengaluru office.
- A 15 years full time education is required
Salary : Rs. 0.0 - Rs. 1,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Overview
We are looking for a skilled Python Developer with strong expertise in Fast API And React to build and manage scalable, high-performance backend systems. The ideal candidate will have hands-on experience in designing microservices, deploying containerized applications, and working in cloud-native environments.
Key Responsibilities
Design, develop, and maintain robust backend services using Python and FastAPI
Build and deploy scalable microservices architectures
Containerize applications using Docker and orchestrate using Kubernetes
Develop and integrate RESTful APIs with high performance and security standards
Collaborate with frontend teams, DevOps, and cross-functional stakeholders
Optimize application performance, reliability, and scalability
Implement CI/CD pipelines and ensure smooth deployment workflows
Monitor, troubleshoot, and debug production issues
Mandatory Skills
Strong proficiency in Python programming
Hands-on experience with FastAPI (or similar modern Python frameworks)
Experience working with Kubernetes for container orchestration
Solid understanding of Microservices Architecture
Experience with Docker and containerization
Experience with Angular/React
Strong knowledge of REST API design and development
Preferred Skills
Experience with cloud platforms such as AWS
Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.)
Knowledge of databases (PostgreSQL, MongoDB, MySQL)
Exposure to message queues (Kafka, RabbitMQ)
Understanding of monitoring tools like Prometheus, Grafana
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field
3–6 years of relevant backend development experience
Responsibilities
Role Overview
We are looking for a skilled Python Developer with strong expertise in Fast API And React to build and manage scalable, high-performance backend systems. The ideal candidate will have hands-on experience in designing microservices, deploying containerized applications, and working in cloud-native environments.
Key Responsibilities
Design, develop, and maintain robust backend services using Python and FastAPI
Build and deploy scalable microservices architectures
Containerize applications using Docker and orchestrate using Kubernetes
Develop and integrate RESTful APIs with high performance and security standards
Collaborate with frontend teams, DevOps, and cross-functional stakeholders
Optimize application performance, reliability, and scalability
Implement CI/CD pipelines and ensure smooth deployment workflows
Monitor, troubleshoot, and debug production issues
Mandatory Skills
Strong proficiency in Python programming
Hands-on experience with FastAPI (or similar modern Python frameworks)
Experience working with Kubernetes for container orchestration
Solid understanding of Microservices Architecture
Experience with Docker and containerization
Experience with Angular/React
Strong knowledge of REST API design and development
Preferred Skills
Experience with cloud platforms such as AWS
Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.)
Knowledge of databases (PostgreSQL, MongoDB, MySQL)
Exposure to message queues (Kafka, RabbitMQ)
Understanding of monitoring tools like Prometheus, Grafana
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field
3–6 years of relevant backend development experience
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
