Key Responsibilities:
• Lead and manage shift operations for a team of 10–15 SAP Basis consultants
• Deliver SAP Basis support across S/4HANA, Business Suite, EWM, and associated landscapes
• Perform system monitoring, performance tuning, transport management (ChaRM/CTMS)
• Handle data growth analysis, security updates, deletion/partitioning, system refreshes, and upgrades
• Manage SAP HANA, including performance optimization and troubleshooting across ERP, BW, BW4HANA
• Drive incident and change management in line with ITIL practices
• Create and maintain shift rosters, ensure task allocation and productivity improvement
• Collaborate with cross-functional teams on infrastructure planning, system sizing, HA/DR strategies
• Maintain system documentation, support IT audits, and ensure compliance
• Provide RCA, support patching, upgrades, and kernel/database maintenance
• Train junior consultants and ensure knowledge sharing within the team
Technical Skills:
• Expertise in SAP Basis (ABAP + Java Stack), FRUN, Cloud ALM, Solution Manager
• OS: Unix/Linux/Windows; DB: HANA, ASE, Oracle, DB2, MaxDB
• Strong hands-on with SAP installations, refreshes, upgrades, and patches
• Performance monitoring (CPU, memory, I/O), SAP system assessments
• Understanding of Unicode conversions, system copies, and user management
Responsibilities
Key Responsibilities:
• Lead and manage shift operations for a team of 10–15 SAP Basis consultants
• Deliver SAP Basis support across S/4HANA, Business Suite, EWM, and associated landscapes
• Perform system monitoring, performance tuning, transport management (ChaRM/CTMS)
• Handle data growth analysis, security updates, deletion/partitioning, system refreshes, and upgrades
• Manage SAP HANA, including performance optimization and troubleshooting across ERP, BW, BW4HANA
• Drive incident and change management in line with ITIL practices
• Create and maintain shift rosters, ensure task allocation and productivity improvement
• Collaborate with cross-functional teams on infrastructure planning, system sizing, HA/DR strategies
• Maintain system documentation, support IT audits, and ensure compliance
• Provide RCA, support patching, upgrades, and kernel/database maintenance
• Train junior consultants and ensure knowledge sharing within the team
Technical Skills:
• Expertise in SAP Basis (ABAP + Java Stack), FRUN, Cloud ALM, Solution Manager
• OS: Unix/Linux/Windows; DB: HANA, ASE, Oracle, DB2, MaxDB
• Strong hands-on with SAP installations, refreshes, upgrades, and patches
• Performance monitoring (CPU, memory, I/O), SAP system assessments
• Understanding of Unicode conversions, system copies, and user management
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
6+ years of experience in Data Analytics or Business Intelligence.
Expert-level proficiency in SQL| including query optimization and performance tuning.
Strong experience in the BFS domain.Hands-on experience with Google Cloud Platform (GCP)| especially BigQuery.
Strong understanding of Big Data concepts and distributed data processing.Work on Hive and PySpark for large-scale data processing.
Work in Power BI and Tableau for dashboard development and data visualization.
Develop ETL processes| data warehousing| and data modeling.Work in Data Governance
Strong analytical| problem-solving| and stakeholder management skills.
Excellent verbal and written communication skills
Basic understanding of Artificial Intelligence (AI) and Machine Learning concepts and their application in analytics.
Develop solutions on Python for data analysis and automation is an added advantage.Familiarity with Agile/Scrum methodologies.
Experience working in cloud-based analytics environments.."
Essential Skills: GCP| BigData| BigQuery|PySpark| Python| Spark| SQL
Responsibilities
6+ years of experience in Data Analytics or Business Intelligence.
Expert-level proficiency in SQL| including query optimization and performance tuning.
Strong experience in the BFS domain.Hands-on experience with Google Cloud Platform (GCP)| especially BigQuery.
Strong understanding of Big Data concepts and distributed data processing.Work on Hive and PySpark for large-scale data processing.
Work in Power BI and Tableau for dashboard development and data visualization.
Develop ETL processes| data warehousing| and data modeling.Work in Data Governance
Strong analytical| problem-solving| and stakeholder management skills.
Excellent verbal and written communication skills
Basic understanding of Artificial Intelligence (AI) and Machine Learning concepts and their application in analytics.
Develop solutions on Python for data analysis and automation is an added advantage.Familiarity with Agile/Scrum methodologies.
Experience working in cloud-based analytics environments.."
Essential Skills: GCP| BigData| BigQuery|PySpark| Python| Spark| SQL
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Descriptions: "6+ years of experience in Data Analytics or Business Intelligence.
Expert-level proficiency in SQL| including query optimization and performance tuning.
Strong experience in the BFSI domain.
Hands-on experience with Google Cloud Platform (GCP)| especially BigQuery.
Strong understanding of Big Data concepts and distributed data processing.
Work on Hive and PySpark for large-scale data processing.
Work in Power BI and Tableau for dashboard development and data visualization.
Develop ETL processes| data warehousing| and data modeling.
Work in Data Governance
Strong analytical| problem-solving| and stakeholder management skills.
Excellent verbal and written communication skills
Basic understanding of Artificial Intelligence (AI) and Machine Learning concepts and their application in analytics.
Develop solutions on Python for data analysis and automation is an added advantage.
Familiarity with Agile/Scrum methodologies.
Experience working in cloud-based analytics environments.."
Essential Skills: GCP| BigData| BigQuery|PySpark| Python| Spark| SQL
Responsibilities
Role Descriptions: "6+ years of experience in Data Analytics or Business Intelligence.
Expert-level proficiency in SQL| including query optimization and performance tuning.
Strong experience in the BFSI domain.
Hands-on experience with Google Cloud Platform (GCP)| especially BigQuery.
Strong understanding of Big Data concepts and distributed data processing.
Work on Hive and PySpark for large-scale data processing.
Work in Power BI and Tableau for dashboard development and data visualization.
Develop ETL processes| data warehousing| and data modeling.
Work in Data Governance
Strong analytical| problem-solving| and stakeholder management skills.
Excellent verbal and written communication skills
Basic understanding of Artificial Intelligence (AI) and Machine Learning concepts and their application in analytics.
Develop solutions on Python for data analysis and automation is an added advantage.
Familiarity with Agile/Scrum methodologies.
Experience working in cloud-based analytics environments.."
Essential Skills: GCP| BigData| BigQuery|PySpark| Python| Spark| SQL
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Design, develop, and maintain ETL jobs using IBM DataStage 11.x (Parallel and Server jobs).
2. Build scalable data pipelines for data extraction, transformation, and loading from multiple source systems.
3. Optimize DataStage jobs for high performance, reliability, and reusability.
4. Troubleshoot ETL failures, performance issues, and production incidents.
5. Work with SQL and relational databases to write complex queries and perform data validations.
6. Implement data warehousing concepts, including SCDs, fact/dimension modeling, and data quality checks.
7. Create job sequences, parameter sets, reusable components, and shared containers.
8. Collaborate with cross-functional teams (data architects, DBAs, business analysts) to translate requirements into ETL solutions.
9. Deploy, schedule, and monitor DataStage jobs using Control-M or similar scheduling tools.
10. Prepare technical documentation, data flow diagrams, and ETL process specifications.
11.Work with stakeholders to understand business requirements and convert them into technical ETL solutions.
12.Collaborate with data architects, DBAs, QA, and analytics teams.
Responsibilities
Design, develop, and maintain ETL jobs using IBM DataStage 11.x (Parallel and Server jobs).
2. Build scalable data pipelines for data extraction, transformation, and loading from multiple source systems.
3. Optimize DataStage jobs for high performance, reliability, and reusability.
4. Troubleshoot ETL failures, performance issues, and production incidents.
5. Work with SQL and relational databases to write complex queries and perform data validations.
6. Implement data warehousing concepts, including SCDs, fact/dimension modeling, and data quality checks.
7. Create job sequences, parameter sets, reusable components, and shared containers.
8. Collaborate with cross-functional teams (data architects, DBAs, business analysts) to translate requirements into ETL solutions.
9. Deploy, schedule, and monitor DataStage jobs using Control-M or similar scheduling tools.
10. Prepare technical documentation, data flow diagrams, and ETL process specifications.
11.Work with stakeholders to understand business requirements and convert them into technical ETL solutions.
12.Collaborate with data architects, DBAs, QA, and analytics teams.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The position is responsible for designing, developing, and maintaining data pipelines and infrastructure. This role implements data integration, processing, and analytics solutions in an agile environment while collaborating with cross-functional teams to deliver efficient and scalable data systems.
Responsibilities
• Data Pipelines - Design, develop, and maintain data pipelines for efficient data processing and integration for real-time and batch-processing. Implement and optimize ETL processes to extract, load, transform and integrate data from various sources. Enhance data flows and storage solutions for improved performance
• Data Warehousing - Design and implement data warehouse structures. Ensure data quality and consistency within the data warehouse. Apply data modeling techniques for efficient data storage and retrieval
• Data Governance, Quality & Compliance - Implement data governance policies and procedures. Implement data quality frameworks, standards and documentation. Ensure compliance with relevant data regulations and standards
• Security & Access Management - Implement data security measures and access controls. Maintain data protection protocols
• Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot data issues and implement robust solutions
• Testing & Automation – Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.
• Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.
• Cross-Functional Collaboration - Collaborate with data scientists, analysts, and other teams to understand and meet data requirements. Participate in cross-functional projects to support data-driven initiatives
Technical/Business Skills:
• Hands-on experience in building robust metadata-driven, automated data pipeline solutions leveraging modern cloud-based data technologies, tools for large data platforms.
• Hands-on experience leveraging data security, governance methodologies meeting data compliance requirements.
• Experience building automated ELT data pipelines, snowpipe frameworks leveraging Qlik Replicate, DBT Cloud, snowflake with CICD.
• Hands-on experience building data integrity solutions across multiple data sources and targets like SQL Server, Oracle, Mainframe-DB2, files, Snowflake.
• Experience working with various structured & semi-structured data files - CSV, fixed width, JSON, XML, Excel, and mainframe VSAM.
• Experience using S3, Lambda, SQS, SNS, Glue, RDS AWS services.
• Proficiency in Python, Pyspark, advanced SQL for ingestion frameworks and automation.
• Hands-on data orchestration experience using DBT cloud, Astronomer Airflow.
• Experience in implementing logging, monitoring, alerting, observability, performance tuning techniques.
• Implement and maintain sensitive data protection strategies – tokenization, snowflake data masking policies, dynamic & conditional masking, and role based masking rules.
• Strong experience designing, implementing RBAC, data access controls, adopting governance standards across Snowflake and supporting systems.
• Strong experience in adopting release management guidelines, code deployment to various environments, implementing disaster recovery strategies, leading production activities.
• Experience implementing schema drift detection and schema evolution patterns.
• Must have one or more certifications in the relevant technology fields.
• Nice to have Financial banking experience.
Responsibilities
The position is responsible for designing, developing, and maintaining data pipelines and infrastructure. This role implements data integration, processing, and analytics solutions in an agile environment while collaborating with cross-functional teams to deliver efficient and scalable data systems.
Responsibilities
• Data Pipelines - Design, develop, and maintain data pipelines for efficient data processing and integration for real-time and batch-processing. Implement and optimize ETL processes to extract, load, transform and integrate data from various sources. Enhance data flows and storage solutions for improved performance
• Data Warehousing - Design and implement data warehouse structures. Ensure data quality and consistency within the data warehouse. Apply data modeling techniques for efficient data storage and retrieval
• Data Governance, Quality & Compliance - Implement data governance policies and procedures. Implement data quality frameworks, standards and documentation. Ensure compliance with relevant data regulations and standards
• Security & Access Management - Implement data security measures and access controls. Maintain data protection protocols
• Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot data issues and implement robust solutions
• Testing & Automation – Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.
• Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.
• Cross-Functional Collaboration - Collaborate with data scientists, analysts, and other teams to understand and meet data requirements. Participate in cross-functional projects to support data-driven initiatives
Technical/Business Skills:
• Hands-on experience in building robust metadata-driven, automated data pipeline solutions leveraging modern cloud-based data technologies, tools for large data platforms.
• Hands-on experience leveraging data security, governance methodologies meeting data compliance requirements.
• Experience building automated ELT data pipelines, snowpipe frameworks leveraging Qlik Replicate, DBT Cloud, snowflake with CICD.
• Hands-on experience building data integrity solutions across multiple data sources and targets like SQL Server, Oracle, Mainframe-DB2, files, Snowflake.
• Experience working with various structured & semi-structured data files - CSV, fixed width, JSON, XML, Excel, and mainframe VSAM.
• Experience using S3, Lambda, SQS, SNS, Glue, RDS AWS services.
• Proficiency in Python, Pyspark, advanced SQL for ingestion frameworks and automation.
• Hands-on data orchestration experience using DBT cloud, Astronomer Airflow.
• Experience in implementing logging, monitoring, alerting, observability, performance tuning techniques.
• Implement and maintain sensitive data protection strategies – tokenization, snowflake data masking policies, dynamic & conditional masking, and role based masking rules.
• Strong experience designing, implementing RBAC, data access controls, adopting governance standards across Snowflake and supporting systems.
• Strong experience in adopting release management guidelines, code deployment to various environments, implementing disaster recovery strategies, leading production activities.
• Experience implementing schema drift detection and schema evolution patterns.
• Must have one or more certifications in the relevant technology fields.
• Nice to have Financial banking experience.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Summary
We are seeking an experienced SSIS Developer to design, build, and maintain ETL processes using Microsoft SQL Server Integration Services (SSIS). The role involves developing robust data pipelines, optimizing performance, ensuring data quality, and collaborating with cross-functional stakeholders to deliver reliable analytics and reporting solutions.
Key Responsibilities
• Design, develop, and deploy SSIS packages for data extraction, transformation, and loading (ETL).
• Build reusable components (connections, configurations, templates) and enforce naming conventions.
• Integrate data from diverse sources (SQL Server, flat files, Excel, APIs, cloud storage).
• Implement robust error handling, logging, checkpointing, and retry strategies.
• Schedule and monitor ETL jobs via SQL Server Agent; triage failures and remediate root causes.
• Optimize SSIS packages and underlying SQL (indexes, partitioning, query tuning) for performance and scalability.
• Collaborate with DBAs, Data Engineers, Analysts, and Product/Business teams to capture requirements and deliver solutions.
• Perform data profiling, validation, and reconciliation; document data flows and lineage.
• Maintain version control (e.g., Git/Azure DevOps), peer reviews, and release notes.
• Create and maintain technical documentation, SOPs, and operational runbooks.
Required Qualifications
• Hands-on experience with SSIS (packages, data flow tasks, control flow, parameters, variables).
• Strong T-SQL skills: stored procedures, functions, views, window functions, and query optimization.
• Solid understanding of data warehousing concepts (ETL, ELT, dimensional modeling, SCD).
• Experience with SQL Server Agent scheduling and monitoring.
• Proficiency in handling large datasets, performance tuning, and memory/CPU optimization in SSIS.
• Familiarity with source control (Git, Azure DevOps/TFS) and branching/merging strategies.
• Experience with data quality, cleansing, validation rules, and exception handling.
• Excellent problem-solving, communication, and stakeholder management skills.
Preferred / Nice-to-Have
• Experience with SSRS/Power BI and SSAS Tabular or Multidimensional models.
• CI/CD for data pipelines (Azure DevOps, GitHub Actions) and Infrastructure as Code basics.
• Experience with REST APIs, JSON/XML, and file-based ingestion patterns.
Responsibilities
Role Summary
We are seeking an experienced SSIS Developer to design, build, and maintain ETL processes using Microsoft SQL Server Integration Services (SSIS). The role involves developing robust data pipelines, optimizing performance, ensuring data quality, and collaborating with cross-functional stakeholders to deliver reliable analytics and reporting solutions.
Key Responsibilities
• Design, develop, and deploy SSIS packages for data extraction, transformation, and loading (ETL).
• Build reusable components (connections, configurations, templates) and enforce naming conventions.
• Integrate data from diverse sources (SQL Server, flat files, Excel, APIs, cloud storage).
• Implement robust error handling, logging, checkpointing, and retry strategies.
• Schedule and monitor ETL jobs via SQL Server Agent; triage failures and remediate root causes.
• Optimize SSIS packages and underlying SQL (indexes, partitioning, query tuning) for performance and scalability.
• Collaborate with DBAs, Data Engineers, Analysts, and Product/Business teams to capture requirements and deliver solutions.
• Perform data profiling, validation, and reconciliation; document data flows and lineage.
• Maintain version control (e.g., Git/Azure DevOps), peer reviews, and release notes.
• Create and maintain technical documentation, SOPs, and operational runbooks.
Required Qualifications
• Hands-on experience with SSIS (packages, data flow tasks, control flow, parameters, variables).
• Strong T-SQL skills: stored procedures, functions, views, window functions, and query optimization.
• Solid understanding of data warehousing concepts (ETL, ELT, dimensional modeling, SCD).
• Experience with SQL Server Agent scheduling and monitoring.
• Proficiency in handling large datasets, performance tuning, and memory/CPU optimization in SSIS.
• Familiarity with source control (Git, Azure DevOps/TFS) and branching/merging strategies.
• Experience with data quality, cleansing, validation rules, and exception handling.
• Excellent problem-solving, communication, and stakeholder management skills.
Preferred / Nice-to-Have
• Experience with SSRS/Power BI and SSAS Tabular or Multidimensional models.
• CI/CD for data pipelines (Azure DevOps, GitHub Actions) and Infrastructure as Code basics.
• Experience with REST APIs, JSON/XML, and file-based ingestion patterns.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Triple’ A Developer with strong expertise in Triple’ A Core, WUI (Web User Interface), and Database components
Key Responsibilities
• Design, develop, customize, and maintain Triple’ A applications on Red Hat Linux platform.
• Have a sound understanding of Triple’ A Business Functions like Valuation, Check Strategy, Strategy Reconciliation, Order List etc.
• Work extensively on Triple’ A Core modules, implementing business requirements and system enhancements. Should be able to work on Formats, Screens, Input Controls etc. Knowledge of Triple’ A administrative and data security functions (Format profile, Data profile, Data Security profile etc) will be an added bonus.
• Develop and support WUI (Web User Interface) components and user-facing functionalities. Should have knowledge of working with the WUI Design Studio. Should have good knowledge of TSL and financial server pooling. Prior knowledge of optimizing TSL configuration will be an added bonus.
• Perform database development, optimization, troubleshooting, and data analysis activities.
• Analyze business requirements and translate them into technical solutions.
• Develop interfaces and integrations with internal and external systems. Should have knowledge of ITX to design and develop maps on the Datastage Design Studio.
• Conduct impact analysis, root cause analysis, and provide timely resolution to production issues.
• Participate in code reviews, testing, deployment, and release management activities.
• Collaborate with functional teams, business users, and project stakeholders.
• Prepare technical documentation, design specifications, and support documents.
• Ensure adherence to development standards, security guidelines, and best practices.
Responsibilities
Triple’ A Developer with strong expertise in Triple’ A Core, WUI (Web User Interface), and Database components
Key Responsibilities
• Design, develop, customize, and maintain Triple’ A applications on Red Hat Linux platform.
• Have a sound understanding of Triple’ A Business Functions like Valuation, Check Strategy, Strategy Reconciliation, Order List etc.
• Work extensively on Triple’ A Core modules, implementing business requirements and system enhancements. Should be able to work on Formats, Screens, Input Controls etc. Knowledge of Triple’ A administrative and data security functions (Format profile, Data profile, Data Security profile etc) will be an added bonus.
• Develop and support WUI (Web User Interface) components and user-facing functionalities. Should have knowledge of working with the WUI Design Studio. Should have good knowledge of TSL and financial server pooling. Prior knowledge of optimizing TSL configuration will be an added bonus.
• Perform database development, optimization, troubleshooting, and data analysis activities.
• Analyze business requirements and translate them into technical solutions.
• Develop interfaces and integrations with internal and external systems. Should have knowledge of ITX to design and develop maps on the Datastage Design Studio.
• Conduct impact analysis, root cause analysis, and provide timely resolution to production issues.
• Participate in code reviews, testing, deployment, and release management activities.
• Collaborate with functional teams, business users, and project stakeholders.
• Prepare technical documentation, design specifications, and support documents.
• Ensure adherence to development standards, security guidelines, and best practices.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Triple’ A Developer with strong expertise in Triple’ A Core, WUI (Web User Interface), and Database components
Technical Skills-
• Finastra Loan IQ application support & functional knowledge Mandatory 25%
• Incident/Problem management & major incident handling Mandatory 20%
• SQL (MS SQL) & data investigation/reconciliation Mandatory 15%
• Oracle/DB & batch/interface troubleshooting Mandatory 15%
• Change management, release/deployment validation Mandatory 15%
• Debugging / ability to read code; ServiceNow/ITIL exposure Non-mandatory 10%
Job Requirements*
• 6 years of overall experience in application/production support (target range 5-7 years).
• Working experience supporting Finastra Loan IQ (must have).
• Strong troubleshooting and analytical skills across workflow behavior, performance, user experience, and environment issues.
• Hands-on with databases: Oracle and MS SQL; ability to investigate data and reconcile issues.
• Ability to read code and debug (required).
• Good communication (oral, verbal, written); ability to work under pressure.
Key Responsibilities*
• Provide day-to-day support of Loan IQ, partnering with Business Support to resolve issues in Loan IQ and the broader environment.
• Perform technical troubleshooting across interfaces (batch & real-time), reporting, system performance, and environment stability.
• Respond to queries from interfacing systems (internal/external), resolving data, connectivity, and reconciliation issues.
• Handle incident and problem management; lead/participate in major incident resolution in time-sensitive situations.
• Support change management: ensure production changes are tested/verified; participate in deployment planning discussions.
• Investigate and develop fixes for small bugs or functionality issues.
• Ensure Loan IQ batches complete within timelines and the system is ready by the next business day.
• Monitor maintenance and capacity (DB sizing, file system sizing, archiving/retention/cleanup, server resources).
• Complete internal/external audit requests within agreed timelines.
• Contribute to Loan IQ project work while prioritizing production integrity.
Responsibilities
Technical Skills-
• Finastra Loan IQ application support & functional knowledge Mandatory 25%
• Incident/Problem management & major incident handling Mandatory 20%
• SQL (MS SQL) & data investigation/reconciliation Mandatory 15%
• Oracle/DB & batch/interface troubleshooting Mandatory 15%
• Change management, release/deployment validation Mandatory 15%
• Debugging / ability to read code; ServiceNow/ITIL exposure Non-mandatory 10%
Job Requirements*
• 6 years of overall experience in application/production support (target range 5-7 years).
• Working experience supporting Finastra Loan IQ (must have).
• Strong troubleshooting and analytical skills across workflow behavior, performance, user experience, and environment issues.
• Hands-on with databases: Oracle and MS SQL; ability to investigate data and reconcile issues.
• Ability to read code and debug (required).
• Good communication (oral, verbal, written); ability to work under pressure.
Key Responsibilities*
• Provide day-to-day support of Loan IQ, partnering with Business Support to resolve issues in Loan IQ and the broader environment.
• Perform technical troubleshooting across interfaces (batch & real-time), reporting, system performance, and environment stability.
• Respond to queries from interfacing systems (internal/external), resolving data, connectivity, and reconciliation issues.
• Handle incident and problem management; lead/participate in major incident resolution in time-sensitive situations.
• Support change management: ensure production changes are tested/verified; participate in deployment planning discussions.
• Investigate and develop fixes for small bugs or functionality issues.
• Ensure Loan IQ batches complete within timelines and the system is ready by the next business day.
• Monitor maintenance and capacity (DB sizing, file system sizing, archiving/retention/cleanup, server resources).
• Complete internal/external audit requests within agreed timelines.
• Contribute to Loan IQ project work while prioritizing production integrity.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
