Role Summary
We are looking for a .NET engineer with strong backend fundamentals and experience working with relational databases and messaging systems. You will design, build, and maintain reliable services, integrate with message queues (preferably IBM MQ), and collaborate with cross-functional teams to deliver scalable solutions. Exposure to Kubernetes and observability tools is a plus.
Key Responsibilities
• Design, develop, test, and maintain applications/services using .NET (C#).
• Build and optimize data access layers using PostgreSQL (or other relational databases such as SQL Server/MySQL).
• Develop and maintain integrations using message queues (preferably IBM MQ; RabbitMQ/ActiveMQ/Kafka also acceptable).
• Write clean, maintainable, and well-tested code; participate in code reviews and engineering best practices.
• Troubleshoot production issues and improve performance, reliability, and scalability of services.
• Collaborate with product, QA, DevOps, and other engineering teams for end-to-end delivery.
• Contribute to CI/CD practices, documentation, and operational readiness.
Must Have Skills / Qualifications
• 4–6 years hands-on experience with .NET / C# (APIs/services, background workers, integrations).
• Strong experience with PostgreSQL or any relational database, including schema design and SQL query optimization.
• Experience working with message queues and asynchronous processing patterns (preferably IBM MQ).
• Solid understanding of software engineering fundamentals: OOP, design patterns, REST APIs, debugging, and performance tuning.
• Familiarity with Git-based version control and CI/CD workflows.
Good to Have
• Experience deploying and running workloads on Kubernetes.
• Exposure to Razor templates (ASP.NET MVC/Razor Pages) for server-side rendering.
• Experience with monitoring/observability using Grafana (dashboards, alerts) and related telemetry concepts.
Responsibilities
Full Stack Development / DT893JP00010083 / 3 – 6 years / Phani Sarraju
Description:
4–6 years of software development experience in building and supporting backend/services using .NET.
Role Summary
We are looking for a .NET engineer with strong backend fundamentals and experience working with relational databases and messaging systems. You will design, build, and maintain reliable services, integrate with message queues (preferably IBM MQ), and collaborate with cross-functional teams to deliver scalable solutions. Exposure to Kubernetes and observability tools is a plus.
Key Responsibilities
• Design, develop, test, and maintain applications/services using .NET (C#).
• Build and optimize data access layers using PostgreSQL (or other relational databases such as SQL Server/MySQL).
• Develop and maintain integrations using message queues (preferably IBM MQ; RabbitMQ/ActiveMQ/Kafka also acceptable).
• Write clean, maintainable, and well-tested code; participate in code reviews and engineering best practices.
• Troubleshoot production issues and improve performance, reliability, and scalability of services.
• Collaborate with product, QA, DevOps, and other engineering teams for end-to-end delivery.
• Contribute to CI/CD practices, documentation, and operational readiness.
Must Have Skills / Qualifications
• 4–6 years hands-on experience with .NET / C# (APIs/services, background workers, integrations).
• Strong experience with PostgreSQL or any relational database, including schema design and SQL query optimization.
• Experience working with message queues and asynchronous processing patterns (preferably IBM MQ).
• Solid understanding of software engineering fundamentals: OOP, design patterns, REST APIs, debugging, and performance tuning.
• Familiarity with Git-based version control and CI/CD workflows.
Good to Have
• Experience deploying and running workloads on Kubernetes.
• Exposure to Razor templates (ASP.NET MVC/Razor Pages) for server-side rendering.
• Experience with monitoring/observability using Grafana (dashboards, alerts) and related telemetry concepts.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Proficiency in the Ab Initio Graphical Development Environment (GDE): Building, modifying,
and debugging graphs using standard components (Reformat, Join, Sort, Rollup, Normalize,
Lookup, etc.), custom transforms, and embedded code.
Understanding and Assessing Auto-Converted Graphs: Graphs produced by Ab Initio's
automated COBOL/IMS conversion tool are not standard hand-built graphs. They follow
machine-generated patterns — often verbose, deeply nested, or structured in ways that differ
significantly from graphs written from scratch. In this environment, these converted graphs must
be assessed and modified to implement new requirements or fix defects. This requires the
ability to trace generated logic back to the original COBOL source, identify the relevant transform
or component within an auto-generated structure, and make targeted, safe changes without
disrupting the surrounding converted logic.
Metadata Management: Working with the Enterprise Meta Environment (EME) for version
control, dependency analysis, impact analysis, and data lineage.
Parameter Handling: Using Parameter Definition Language (PDL) effectively.
Orchestration and Workflow: Conduct It (or Express It) for scheduling and managing job flows
— this largely replaces JCL and IMS transaction management. Job scheduling is handled via
Atomic Automation, which orchestrates Ab Initio workloads in the production environment. A
critical aspect of this environment is that Atomic Automation workflows contain parallel job
dependencies — multiple jobs may execute concurrently with interdependencies that must be
understood when diagnosing failures or assessing the impact of a change. This is distinct from the
sequential step-by-step flow within an individual job; the broader workflow topology must also be
considered.
Data Flow Traceability and File/Dataset Lineage: A critical problem-solving skill in this
environment is the ability to trace data content backwards and forwards through job flows
and workflows — following a file or dataset from its point of creation through each transformation
it undergoes across jobs, graphs, and workflow stages. This includes understanding what
populates a file, how it is transformed at each step, where it is consumed downstream, and how
parallel workflow paths may contribute to or depend on its content. This traceability underpins
three core data concerns that must always be considered:
Data Integrity: Ensuring that transformations preserve the accuracy and consistency of data
values as they move through the system — detecting where values may be incorrectly
computed, overwritten, or corrupted relative to what the original IMS application would have
produced.
Missing Data: Identifying conditions under which records or fields may be absent, dropped,
or skipped — whether due to filtering logic, join mismatches, conditional branches, or
upstream job failures — and understanding the downstream impact of that absence.
Data Retention: Understanding how long data persists at each stage — which files are
transient (used within a single run), which are retained across cycles, and how GDG-style
generational patterns control the lifecycle of datasets. Knowing what data is available, for
how long, and under what conditions is essential for recovery, reprocessing, and audit
support.
Data Processing and Integration: Handling large-scale ETL/ELT processes, including migrated
IMS segment data, copybooks, EBCDIC, packed decimal, and zoned decimal formats.
Administration and Operations: Co Operating System runtime management, monitoring,
logging, error handling, deployment, and performance tuning (parallelism, multifile systems,
resource optimization).
Responsibilities
Proficiency in the Ab Initio Graphical Development Environment (GDE): Building, modifying,
and debugging graphs using standard components (Reformat, Join, Sort, Rollup, Normalize,
Lookup, etc.), custom transforms, and embedded code.
Understanding and Assessing Auto-Converted Graphs: Graphs produced by Ab Initio's
automated COBOL/IMS conversion tool are not standard hand-built graphs. They follow
machine-generated patterns — often verbose, deeply nested, or structured in ways that differ
significantly from graphs written from scratch. In this environment, these converted graphs must
be assessed and modified to implement new requirements or fix defects. This requires the
ability to trace generated logic back to the original COBOL source, identify the relevant transform
or component within an auto-generated structure, and make targeted, safe changes without
disrupting the surrounding converted logic.
Metadata Management: Working with the Enterprise Meta Environment (EME) for version
control, dependency analysis, impact analysis, and data lineage.
Parameter Handling: Using Parameter Definition Language (PDL) effectively.
Orchestration and Workflow: Conduct It (or Express It) for scheduling and managing job flows
— this largely replaces JCL and IMS transaction management. Job scheduling is handled via
Atomic Automation, which orchestrates Ab Initio workloads in the production environment. A
critical aspect of this environment is that Atomic Automation workflows contain parallel job
dependencies — multiple jobs may execute concurrently with interdependencies that must be
understood when diagnosing failures or assessing the impact of a change. This is distinct from the
sequential step-by-step flow within an individual job; the broader workflow topology must also be
considered.
Data Flow Traceability and File/Dataset Lineage: A critical problem-solving skill in this
environment is the ability to trace data content backwards and forwards through job flows
and workflows — following a file or dataset from its point of creation through each transformation
it undergoes across jobs, graphs, and workflow stages. This includes understanding what
populates a file, how it is transformed at each step, where it is consumed downstream, and how
parallel workflow paths may contribute to or depend on its content. This traceability underpins
three core data concerns that must always be considered:
Data Integrity: Ensuring that transformations preserve the accuracy and consistency of data
values as they move through the system — detecting where values may be incorrectly
computed, overwritten, or corrupted relative to what the original IMS application would have
produced.
Missing Data: Identifying conditions under which records or fields may be absent, dropped,
or skipped — whether due to filtering logic, join mismatches, conditional branches, or
upstream job failures — and understanding the downstream impact of that absence.
Data Retention: Understanding how long data persists at each stage — which files are
transient (used within a single run), which are retained across cycles, and how GDG-style
generational patterns control the lifecycle of datasets. Knowing what data is available, for
how long, and under what conditions is essential for recovery, reprocessing, and audit
support.
Data Processing and Integration: Handling large-scale ETL/ELT processes, including migrated
IMS segment data, copybooks, EBCDIC, packed decimal, and zoned decimal formats.
Administration and Operations: Co Operating System runtime management, monitoring,
logging, error handling, deployment, and performance tuning (parallelism, multifile systems,
resource optimization).
Salary : Rs. 0.0 - Rs. 1,74,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Summary:
We are looking for a skilled SAP BODS + FICO Consultant with strong expertise in data integration and financial processes. The candidate will be responsible for designing, developing, and supporting data migration, ETL processes using SAP BODS, and working closely with SAP FICO modules for financial data management and reporting.
Key Responsibilities:
SAP BODS (BusinessObjects Data Services):
Design, develop, and maintain ETL jobs using SAP BODS
Perform data extraction, transformation, and loading from multiple sources
Handle data migration and data quality processes
Optimize data workflows and ensure performance tuning
Troubleshoot and resolve ETL-related issues
SAP FICO (Financial Accounting & Controlling):
Work on core FICO modules: GL, AP, AR, Asset Accounting, Cost Center Accounting
Support financial data integration between SAP and non-SAP systems
Assist in financial reporting and reconciliation processes
Collaborate with business users to gather requirements and provide solutions
Support month-end and year-end closing activities
Required Skills:
Strong hands-on experience in SAP BODS (ETL development)
Good functional knowledge of SAP FICO
Experience in data migration projects (LSMW / BODS / S/4HANA migrations preferred)
Knowledge of SQL, data warehousing concepts
Understanding of financial processes and reporting
Strong problem-solving and analytical skills
Preferred Skills:
Experience with SAP S/4HANA
Exposure to SAP BW / HANA
Knowledge of data quality and data governance tools
Experience in integration with third-party systems
Qualifications:
Bachelor’s degree in Finance, Accounting, IT, or related field
SAP Certification in FICO or BODS is a plus
Soft Skills:
Good communication and stakeholder management
Ability to work independently and in team environments
Strong documentation skills
Responsibilities
Job Summary:
We are looking for a skilled SAP BODS + FICO Consultant with strong expertise in data integration and financial processes. The candidate will be responsible for designing, developing, and supporting data migration, ETL processes using SAP BODS, and working closely with SAP FICO modules for financial data management and reporting.
Key Responsibilities:
SAP BODS (BusinessObjects Data Services):
Design, develop, and maintain ETL jobs using SAP BODS
Perform data extraction, transformation, and loading from multiple sources
Handle data migration and data quality processes
Optimize data workflows and ensure performance tuning
Troubleshoot and resolve ETL-related issues
SAP FICO (Financial Accounting & Controlling):
Work on core FICO modules: GL, AP, AR, Asset Accounting, Cost Center Accounting
Support financial data integration between SAP and non-SAP systems
Assist in financial reporting and reconciliation processes
Collaborate with business users to gather requirements and provide solutions
Support month-end and year-end closing activities
Required Skills:
Strong hands-on experience in SAP BODS (ETL development)
Good functional knowledge of SAP FICO
Experience in data migration projects (LSMW / BODS / S/4HANA migrations preferred)
Knowledge of SQL, data warehousing concepts
Understanding of financial processes and reporting
Strong problem-solving and analytical skills
Preferred Skills:
Experience with SAP S/4HANA
Exposure to SAP BW / HANA
Knowledge of data quality and data governance tools
Experience in integration with third-party systems
Qualifications:
Bachelor’s degree in Finance, Accounting, IT, or related field
SAP Certification in FICO or BODS is a plus
Soft Skills:
Good communication and stakeholder management
Ability to work independently and in team environments
Strong documentation skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
Job Responsibilities
• Develop innovative solutions by designing and analyzing data driven applications from Vehicles/IoT devices to solve problems.
• Understand and Align Solutions towards Business needs.
• Lead Java/J2EE development with OOPs design principles and Java Design Patterns.
• Define architecture for connected vehicle backend and applications.
• Design and Development of IoT environment in the Cloud (Azure) with deep understanding of design for scalability and performance.
• Design and Development of microservices (Spring Boot) driven architecture
• Design and Development of MVC based framework components.
• Team Mentoring and Competency development
Experience and Skills
• 4+ years of cloud experience, Azure preferred
• 4+ years of Architecting and Programming skills in Java/J2EE with good understanding of OOPs design principles and Java Design Patterns. Excellent understanding of Core Java.
• Knowledge on React / Angular development
• Good knowledge on database (especially on postgresql
• Rich experience in developing cloud-based solutions using Azure with deep understanding of design for scalability and performance.
• Designing IoT systems and developing scalable Messaging and Streaming environments and extending the solution to create real time IoT data analytics driven applications.
• Experience in developing Microservices (preferably Spring Boot) with good exposure to web application frameworks.
• Exposure to IoT and Big Data platforms.
• Experience of DevOps concepts, tools and technology landscape.
• Experience with various tools of the trade including build tools (Maven, Gradle), version control (subversion, Git), automation servers (Jenkins, VSTS, Bamboo)
• Unit Testing with Junit
• Scripting languages like Python, JavaScript would be beneficial
• Experience in integrating API’s with frontend applications based on React, Angular, Node js
Responsibilities
Description:
Job Responsibilities
• Develop innovative solutions by designing and analyzing data driven applications from Vehicles/IoT devices to solve problems.
• Understand and Align Solutions towards Business needs.
• Lead Java/J2EE development with OOPs design principles and Java Design Patterns.
• Define architecture for connected vehicle backend and applications.
• Design and Development of IoT environment in the Cloud (Azure) with deep understanding of design for scalability and performance.
• Design and Development of microservices (Spring Boot) driven architecture
• Design and Development of MVC based framework components.
• Team Mentoring and Competency development
Experience and Skills
• 4+ years of cloud experience, Azure preferred
• 4+ years of Architecting and Programming skills in Java/J2EE with good understanding of OOPs design principles and Java Design Patterns. Excellent understanding of Core Java.
• Knowledge on React / Angular development
• Good knowledge on database (especially on postgresql
• Rich experience in developing cloud-based solutions using Azure with deep understanding of design for scalability and performance.
• Designing IoT systems and developing scalable Messaging and Streaming environments and extending the solution to create real time IoT data analytics driven applications.
• Experience in developing Microservices (preferably Spring Boot) with good exposure to web application frameworks.
• Exposure to IoT and Big Data platforms.
• Experience of DevOps concepts, tools and technology landscape.
• Experience with various tools of the trade including build tools (Maven, Gradle), version control (subversion, Git), automation servers (Jenkins, VSTS, Bamboo)
• Unit Testing with Junit
• Scripting languages like Python, JavaScript would be beneficial
• Experience in integrating API’s with frontend applications based on React, Angular, Node js
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
