As an Application Support Engineer, you will act as a software detective, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring that applications run smoothly to support business operations effectively. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency of the organization. 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.- Assist in the development and implementation of best practices for application support.- Document and maintain records of issues and resolutions to enhance knowledge sharing within the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce Marketing Cloud.- Strong understanding of customer relationship management systems.- Experience with data integration and automation tools.- Familiarity with troubleshooting and debugging techniques.- Ability to analyze and interpret data to inform decision-making. Additional Information: - The candidate should have minimum 3 years of experience in Salesforce Marketing Cloud.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Responsibilities
As an Application Support Engineer, you will act as a software detective, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, analyzing system performance, and ensuring that applications run smoothly to support business operations effectively. You will engage with stakeholders to understand their needs and provide timely solutions, contributing to the overall efficiency of the organization. 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.- Assist in the development and implementation of best practices for application support.- Document and maintain records of issues and resolutions to enhance knowledge sharing within the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce Marketing Cloud.- Strong understanding of customer relationship management systems.- Experience with data integration and automation tools.- Familiarity with troubleshooting and debugging techniques.- Ability to analyze and interpret data to inform decision-making. Additional Information: - The candidate should have minimum 3 years of experience in Salesforce Marketing Cloud.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 1,45,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Digital: Kubernetes, Digital: Google Data Engineering
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.
• Proficiency in Python for scripting, debugging, and automation tasks.
• Experience with Terraform for infrastructure-as-code.
• Knowledge of Git for version control.
• Understanding of data ingestion concepts, file formats, and ETL workflows.
• Ability to debug and resolve runtime data issues independently.
• Strong problem-solving and analytical skills.
Good to Have:
• Exposure to TWSd or other enterprise job schedulers.
• Basic understanding of SQL optimization in BigQuery.
Soft Skills:
• Attention to detail and ownership mindset.
• Good communication and collaboration skills.
• Ability to work in a fast-paced environment and meet deadlines.
Proactive approach towards process improvement and innovation.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Digital: Kubernetes, Digital: Google Data Engineering
Essential Skills: Python (5 years professional experience) developing automation solutions within complex| enterprise-scale environments.Strong proficiency with Python ecosystem tools and libraries used for automation| data processing| API integration| and workflow orchestration (e.g.| pandas| SQLAlchemy| requests| PyTest).Hands-on experience designing and maintaining automated business processes| including scripting| task scheduling| error handling| logging| and performance optimization.Solid working knowledge of SQL Server writing optimized SQL queries| stored procedures| and troubleshooting performance issues.Practical experience with Snowflake| including Snowflake SQL| data pipeline interactions| and integration with Python.Experience working with enterprise data environments| version control (Git)| CICD pipelines| and secure deployment practices.Familiarity with cloud or hybrid environments (AWS) and integrating Python automations with cloud-based services is a plus.Ability to collaborate with business process owners to translate manual workflows into fully automated| fault-tolerant solutions.
Desirable Skills: Auto Finance exp
Keyword: ~Python + PySpark developer~
Skills: Digital
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Python~Data Warehouse~Digital : Snowflake~Digital : PySpark
