We are seeking an experienced Custom Software Engineer to design and develop tailored software solutions using contemporary frameworks and agile methodologies. This role requires an SME-level professional to lead a team, manage technical decisions, and collaborate across multiple teams to deliver scalable and efficient software. The position demands a minimum of 5 years of Data Engineering experience with expertise in cloud-based platforms, data pipeline development, and optimization. Key responsibilities include mentoring junior team members, identifying process improvements, and ensuring alignment on project objectives. When sourcing for this role, prioritize candidates with strong hands-on experience in Python and Azure cloud platforms, proven leadership capabilities in managing technical teams, and demonstrated expertise in building and maintaining complex data pipelines at scale.
Responsibilities
We are seeking an experienced Custom Software Engineer to design and develop tailored software solutions using contemporary frameworks and agile methodologies. This role requires an SME-level professional to lead a team, manage technical decisions, and collaborate across multiple teams to deliver scalable and efficient software. The position demands a minimum of 5 years of Data Engineering experience with expertise in cloud-based platforms, data pipeline development, and optimization. Key responsibilities include mentoring junior team members, identifying process improvements, and ensuring alignment on project objectives. When sourcing for this role, prioritize candidates with strong hands-on experience in Python and Azure cloud platforms, proven leadership capabilities in managing technical teams, and demonstrated expertise in building and maintaining complex data pipelines at scale.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
SAP MM, SAP SD ,SAP WM EWM
SAP MM - Implementation & Configuration: Will support end-to-end SAP MM implementation projects. This includes gathering business requirements, performing fit-gap analysis, and configuring the SAP MM module.
Process Optimization: Analyze existing business processes related to procurement and inventory management and recommend system enhancements to improve efficiency and reduce costs.
SAP SD - Knowledge of IT systems such as SAP along with experience of working with Order To Cash users in case they face any issues/challenges with SAP system w.r.t Oder To Cash processes Provide needed support to Order To Cash users in case they face any issues/challenges with SAP system w.r.t Order To Cash processes
SAP WM EWM - Configuration: Design and configure SAP EWM/WM structures, including Storage Types, Sections, Bins, and Activity Areas. Support & Training: Provide post-go-live support and conduct end-user training sessions to ensure smooth adoption Technical Collaboration: Draft clear Functional Specification Documents (FSDs) for custom developments and work closely with ABAP teams to deliver enhancements.
Responsibilities
SAP MM, SAP SD ,SAP WM EWM
SAP MM - Implementation & Configuration: Will support end-to-end SAP MM implementation projects. This includes gathering business requirements, performing fit-gap analysis, and configuring the SAP MM module.
Process Optimization: Analyze existing business processes related to procurement and inventory management and recommend system enhancements to improve efficiency and reduce costs.
SAP SD - Knowledge of IT systems such as SAP along with experience of working with Order To Cash users in case they face any issues/challenges with SAP system w.r.t Oder To Cash processes Provide needed support to Order To Cash users in case they face any issues/challenges with SAP system w.r.t Order To Cash processes
SAP WM EWM - Configuration: Design and configure SAP EWM/WM structures, including Storage Types, Sections, Bins, and Activity Areas. Support & Training: Provide post-go-live support and conduct end-user training sessions to ensure smooth adoption Technical Collaboration: Draft clear Functional Specification Documents (FSDs) for custom developments and work closely with ABAP teams to deliver enhancements.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Translator, you will deliver precise and accurate technical translation services for various technology programs and projects. The role requires maintaining the integrity and meaning of original content while adapting material for target audiences, with careful attention to detail and commitment to accuracy. You will collaborate with project teams and subject matter experts to clarify technical terminology, manage multiple assignments to meet deadlines, and continuously update knowledge of industry-specific terminology. Key responsibilities include independent work with potential to become an SME, active team participation, problem-solving contributions, and maintaining high accuracy standards. When sourcing for this role, look for candidates with minimum 3 years of Portuguese language translation experience, demonstrated expertise in technical document translation, and proven ability to manage multiple projects simultaneously.
Responsibilities
As a Translator, you will deliver precise and accurate technical translation services for various technology programs and projects. The role requires maintaining the integrity and meaning of original content while adapting material for target audiences, with careful attention to detail and commitment to accuracy. You will collaborate with project teams and subject matter experts to clarify technical terminology, manage multiple assignments to meet deadlines, and continuously update knowledge of industry-specific terminology. Key responsibilities include independent work with potential to become an SME, active team participation, problem-solving contributions, and maintaining high accuracy standards. When sourcing for this role, look for candidates with minimum 3 years of Portuguese language translation experience, demonstrated expertise in technical document translation, and proven ability to manage multiple projects simultaneously.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Engineer - Azure Cloud, Data Bricks. Azure Data Factor, PySpark, ETL knowledge is must. Strong working experience is required
Role Descriptions: Job Description for Data EngineerDesign and develop ETL processes based on functional and non-functional requirements in Databricks| python PySpark within Azure platform.Understand the full end to end development activities from design to go live for ETL development in Azure platform.Recommend and execute improvements.Execute and provide support during testing cycles and post-production deployment| engage in peer code reviews.Apply automation and innovation on new and on-going data platforms that aligned to business strategies.Document component design for developers and for broader communication.Understand and adopt an Agile (SCRUM like) software development mindset.Follow established processesstandards| business technology architecture for development| release management and deployment process.Design| develop and implement reporting platforms and complex ETL frameworks that meet business requirements.Provide data analysis and requirements within enterprise platform.Develop| maintain knowledge of data available from upstream sources and data within various platforms.
Essential Skills: Must-have skillsAzure Databricks| Azure Data FactoryPython Spark Pyspark Shell ScriptSynapse5 years of experience in ETLData area with minimum of 3 years of development experience in above technologies (PySPark| ADB| ADF) is mustSQL| Working experience with data modeling| relational modeling and dimensional modeling| Data Warehousing| ETLGeneral knowledge about file formats (e.g. XML| CSV| JSON)| databases (e.g. MS SQL| Oracle) and different type of connectivity is also very useful.Data files movement via mailboxSource-code versioningpromotion tools| e.g. GitJenkinsGood communication skill| team player
Responsibilities
Data Engineer - Azure Cloud, Data Bricks. Azure Data Factor, PySpark, ETL knowledge is must. Strong working experience is required
Role Descriptions: Job Description for Data EngineerDesign and develop ETL processes based on functional and non-functional requirements in Databricks| python PySpark within Azure platform.Understand the full end to end development activities from design to go live for ETL development in Azure platform.Recommend and execute improvements.Execute and provide support during testing cycles and post-production deployment| engage in peer code reviews.Apply automation and innovation on new and on-going data platforms that aligned to business strategies.Document component design for developers and for broader communication.Understand and adopt an Agile (SCRUM like) software development mindset.Follow established processesstandards| business technology architecture for development| release management and deployment process.Design| develop and implement reporting platforms and complex ETL frameworks that meet business requirements.Provide data analysis and requirements within enterprise platform.Develop| maintain knowledge of data available from upstream sources and data within various platforms.
Essential Skills: Must-have skillsAzure Databricks| Azure Data FactoryPython Spark Pyspark Shell ScriptSynapse5 years of experience in ETLData area with minimum of 3 years of development experience in above technologies (PySPark| ADB| ADF) is mustSQL| Working experience with data modeling| relational modeling and dimensional modeling| Data Warehousing| ETLGeneral knowledge about file formats (e.g. XML| CSV| JSON)| databases (e.g. MS SQL| Oracle) and different type of connectivity is also very useful.Data files movement via mailboxSource-code versioningpromotion tools| e.g. GitJenkinsGood communication skill| team player
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital : Databricks~Digital : PySpark~Azure Data Factory
Deployment Analyst-
The Deployment Analyst is responsible for coordinating| planning| and executing software deployments across development| testing| and production environments.
This role ensures that releases are delivered smoothly| safely| and in alignment with change| risk| and governance standards.
The ideal candidate has strong technical awareness| excellent coordination skills| and the ability to work closely with engineering| product| and operations teams to ensure high quality releases.
Key Responsibilities-
Deployment Planning ExecutionCoordinate and schedule application deployments across multiple environments (Dev| QA| UAT| Production).
Prepare deployment plans| runbooks| and checklists to ensure consistent| error free releases.
Execute deployments using CICD pipelines| automation tools| and approved operational processes.
Validate successful deployments through post release checks| monitoring| and system health reviews.
Environment Release ManagementSupport the maintenance and readiness of testing and production environments.
Work with engineering teams to troubleshoot deployment failures and environment issues.
Track environment changes| configurations| and dependencies to avoid deployment conflicts.
Ensure deployment activities align with release calendars and freeze windows.
Governance| Risk ComplianceWork closely with Change Management to ensure releases follow governance and approval processes.
Maintain detailed documentation of changes| deployments| and post-implementation results.
Ensure compliance with operational| regulatory| and audit standards (especially in regulated industries like financial services).
Stakeholder CoordinationLiaise between engineering teams| Release Managers| Product Owners| and Operations to coordinate smooth release cycles.
Provide clear communication on deployment progress| risks| issues| and remediation plans.
Support incident| problem| and root cause analysis for deployment-related issues.
Continuous ImprovementContribute to the enhancement of CICD pipelines| deployment automation| and release processes.
Identify repeated issues and work with engineering teams to reduce manual activities through automation.
Recommend improvements to deployment strategies| tooling| and documentation.
Required Skills
Experience in software deployment| release management| DevOps| or environment coordination roles.
Familiarity with CICD tools (Azure DevOps| Jenkins| GitHub Actions| GitLab| etc.).
Understanding of software development lifecycle (SDLC) and Agile methodologies.
Strong analytical| problem-solving| and troubleshooting skills.
Ability to manage multiple deployments in parallel and coordinate with cross-functional teams.
Excellent communication and documentation skills.
Understanding of application configuration| versioning| change approval| and release governance.
Preferred Qualifications
Experience in financial services| bank
Responsibilities
The Deployment Analyst is responsible for coordinating| planning| and executing software deployments across development| testing| and production environments.
This role ensures that releases are delivered smoothly| safely| and in alignment with change| risk| and governance standards.
The ideal candidate has strong technical awareness| excellent coordination skills| and the ability to work closely with engineering| product| and operations teams to ensure high quality releases.
Key Responsibilities-
Deployment Planning ExecutionCoordinate and schedule application deployments across multiple environments (Dev| QA| UAT| Production).
Prepare deployment plans| runbooks| and checklists to ensure consistent| error free releases.
Execute deployments using CICD pipelines| automation tools| and approved operational processes.
Validate successful deployments through post release checks| monitoring| and system health reviews.
Environment Release ManagementSupport the maintenance and readiness of testing and production environments.
Work with engineering teams to troubleshoot deployment failures and environment issues.
Track environment changes| configurations| and dependencies to avoid deployment conflicts.
Ensure deployment activities align with release calendars and freeze windows.
Governance| Risk ComplianceWork closely with Change Management to ensure releases follow governance and approval processes.
Maintain detailed documentation of changes| deployments| and post-implementation results.
Ensure compliance with operational| regulatory| and audit standards (especially in regulated industries like financial services).
Stakeholder CoordinationLiaise between engineering teams| Release Managers| Product Owners| and Operations to coordinate smooth release cycles.
Provide clear communication on deployment progress| risks| issues| and remediation plans.
Support incident| problem| and root cause analysis for deployment-related issues.
Continuous ImprovementContribute to the enhancement of CICD pipelines| deployment automation| and release processes.
Identify repeated issues and work with engineering teams to reduce manual activities through automation.
Recommend improvements to deployment strategies| tooling| and documentation.
Required Skills
Experience in software deployment| release management| DevOps| or environment coordination roles.
Familiarity with CICD tools (Azure DevOps| Jenkins| GitHub Actions| GitLab| etc.).
Understanding of software development lifecycle (SDLC) and Agile methodologies.
Strong analytical| problem-solving| and troubleshooting skills.
Ability to manage multiple deployments in parallel and coordinate with cross-functional teams.
Excellent communication and documentation skills.
Understanding of application configuration| versioning| change approval| and release governance.
Preferred Qualifications
Experience in financial services| bank
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
kills Required: Digital: Kubernetes, Digital: Google Data Engineering
Experience Range in Required Skills: 5+ Years
Job Description: GCP (E2), Big Query Cloud Composer, GKE
Role Overview:
We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) services to work on implementing and managing data ingestion using our in- house Origin Data Product (ODP) framework. The role primarily involves configuring pipelines, loading data, debugging issues, and ensuring smooth operation of the data ingestion process. Should be capable of handling parameter changes, data issues, and basic fixes within the scope of ingestion
jobs. If you understand the framework well, you are encouraged to suggest improvements and may contribute to enhancements in collaboration with the core
development team.
Key Responsibilities:
• Configure and execute data ingestion pipelines using our reusable GCP-based framework.
• Work with services such as GCS, BigQuery, Composer, Data Fusion, DataProc for ETL/ELT operations.
• Manage parameters, job configurations, and metadata for ingestion.
• Debug and resolve issues related to data, parameters, and job execution.
• Escalate framework-related bugs to the core development team when required.
• Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
• Collaborate with cross-functional teams for smooth delivery.
• Follow version control best practices using Git.
• Maintain deployment scripts and infrastructure configurations via Terraform.
• (Nice-to-have) Work with TWSd job scheduling/monitoring tools.
• Suggest improvements to the framework or processes based on usage experience.
• Contribute to small enhancements in the framework, where applicable.
Required Skills & Experience:
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong working knowledge of Google Cloud Storage (GCS), BigQuery, Composer, Data Fusion, Dataproc.
Responsibilities
kills Required: Digital: Kubernetes, Digital: Google Data Engineering
Experience Range in Required Skills: 5+ Years
Job Description: GCP (E2), Big Query Cloud Composer, GKE
Role Overview:
We are looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) services to work on implementing and managing data ingestion using our in- house Origin Data Product (ODP) framework. The role primarily involves configuring pipelines, loading data, debugging issues, and ensuring smooth operation of the data ingestion process. Should be capable of handling parameter changes, data issues, and basic fixes within the scope of ingestion
jobs. If you understand the framework well, you are encouraged to suggest improvements and may contribute to enhancements in collaboration with the core
development team.
Key Responsibilities:
• Configure and execute data ingestion pipelines using our reusable GCP-based framework.
• Work with services such as GCS, BigQuery, Composer, Data Fusion, DataProc for ETL/ELT operations.
• Manage parameters, job configurations, and metadata for ingestion.
• Debug and resolve issues related to data, parameters, and job execution.
• Escalate framework-related bugs to the core development team when required.
• Monitor daily job runs, troubleshoot failures, and ensure SLAs are met.
• Collaborate with cross-functional teams for smooth delivery.
• Follow version control best practices using Git.
• Maintain deployment scripts and infrastructure configurations via Terraform.
• (Nice-to-have) Work with TWSd job scheduling/monitoring tools.
• Suggest improvements to the framework or processes based on usage experience.
• Contribute to small enhancements in the framework, where applicable.
Required Skills & Experience:
• 5+ years of experience as a Data Engineer or in a similar role.
• Strong working knowledge of Google Cloud Storage (GCS), BigQuery, Composer, Data Fusion, Dataproc.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :(Job Title: Data Engineer – GCP Framework Implementation)
We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Azure Databricks (ADB) to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in data integration, transformation, and cloud-based data architecture. Key responsibilities include designing ETL/ELT pipelines, managing data ingestion workflows, optimizing pipeline performance, and implementing data quality and governance standards. Primary skills required are Azure Data Factory, Azure Databricks, Python/PySpark, and SQL with strong ETL/ELT and data warehousing knowledge. When sourcing candidates, prioritize those with demonstrated hands-on ADF and ADB experience, proven ability to design scalable data architectures, and experience with Delta Lake implementations.
Responsibilities
We are seeking a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Azure Databricks (ADB) to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in data integration, transformation, and cloud-based data architecture. Key responsibilities include designing ETL/ELT pipelines, managing data ingestion workflows, optimizing pipeline performance, and implementing data quality and governance standards. Primary skills required are Azure Data Factory, Azure Databricks, Python/PySpark, and SQL with strong ETL/ELT and data warehousing knowledge. When sourcing candidates, prioritize those with demonstrated hands-on ADF and ADB experience, proven ability to design scalable data architectures, and experience with Delta Lake implementations.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : 567514 - Azure Data Engineer - Blr, Hyd, Pune - EAIS
Expertise in observability platforms (Splunk, Datadog)
• Strong knowledge of monitoring, event management, and incident handling
• Experience in cloud operations and SRE practices
• Familiarity with AIOps and automation tools
• Strong problem-solving and analytical skills
• Excellent stakeholder management and communication
Responsibilities
Expertise in observability platforms (Splunk, Datadog)
• Strong knowledge of monitoring, event management, and incident handling
• Experience in cloud operations and SRE practices
• Familiarity with AIOps and automation tools
• Strong problem-solving and analytical skills
• Excellent stakeholder management and communication
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
