Description
Senior Salesforce Developer
Responsibilities:
• Develop and customize Salesforce applications using Apex, Visualforce, and Lightning components.
• Design and develop Salesforce applications, adhering to best practices and existing platform functionality.
• Collaborate with the team to design and implement new features and enhancements.
• Participate in the entire software development life cycle, including requirements gathering, design, coding, testing, and deployment.
• Perform unit testing and debugging to ensure high-quality code.
• Participate in code reviews and provide constructive feedback.
• Maintain and update existing Salesforce applications.
• Integrate Salesforce with external applications using Force.com APIs (SOAP and REST).
• Develop Salesforce Lightning Apps, Components, Controllers, and Events.
• Customize page layouts, search layouts, custom links, related lists, and other components.
• Implement and maintain CI/CD pipelines using tools like Jenkins and Copado.
• Provide ongoing production support, including troubleshooting and resolving end-user issues.
Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in Salesforce development.
• Proficiency in Apex, Visualforce, and Lightning components.
• Strong understanding of Salesforce best practices and coding standards.
• Experience with Salesforce CRM integration and custom integration solutions.
• Hands-on experience with Salesforce Service Cloud and Marketing Cloud.
• Proficient in data migration using Import Wizard and Data Loader Utility.
• Experience with Agile/Scrum methodologies.
• Excellent communication and collaboration skills.
Required Certifications:
• Salesforce Certified Administrator
• Salesforce Certified App Builder
• Salesforce Certified Platform Developer I
• Salesforce Certified JavaScript Developer I
• Salesforce Certified Platform Developer II
Technical Skills:
• Salesforce.com: Lightning components, Apex Classes/Controllers, Test Classes, Apex Triggers, Visualforce (Pages, Component & Controllers), Community Builder, Web Services, Standard objects, Custom objects, Relationships, Workflow & Approvals, Validations, Page Layouts, Cross-object Formulas, Record Types, Security and Sharing settings, Analytic Snapshots, Reports, Dashboards, Sandbox development, and Testing.
• Salesforce Tools: Copado, VS Code, ANT, Salesforce DX, Workbench, Data Loader.
• Programming Languages: Apex, SQL, SOQL, SOSL.
• Web Languages: HTML, CSS, JavaScript.
• Additional Skills: CRM Analytics, Data Cloud, Automotive Cloud, Service Cloud.
Responsibilities
Description
Senior Salesforce Developer
Responsibilities:
• Develop and customize Salesforce applications using Apex, Visualforce, and Lightning components.
• Design and develop Salesforce applications, adhering to best practices and existing platform functionality.
• Collaborate with the team to design and implement new features and enhancements.
• Participate in the entire software development life cycle, including requirements gathering, design, coding, testing, and deployment.
• Perform unit testing and debugging to ensure high-quality code.
• Participate in code reviews and provide constructive feedback.
• Maintain and update existing Salesforce applications.
• Integrate Salesforce with external applications using Force.com APIs (SOAP and REST).
• Develop Salesforce Lightning Apps, Components, Controllers, and Events.
• Customize page layouts, search layouts, custom links, related lists, and other components.
• Implement and maintain CI/CD pipelines using tools like Jenkins and Copado.
• Provide ongoing production support, including troubleshooting and resolving end-user issues.
Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in Salesforce development.
• Proficiency in Apex, Visualforce, and Lightning components.
• Strong understanding of Salesforce best practices and coding standards.
• Experience with Salesforce CRM integration and custom integration solutions.
• Hands-on experience with Salesforce Service Cloud and Marketing Cloud.
• Proficient in data migration using Import Wizard and Data Loader Utility.
• Experience with Agile/Scrum methodologies.
• Excellent communication and collaboration skills.
Required Certifications:
• Salesforce Certified Administrator
• Salesforce Certified App Builder
• Salesforce Certified Platform Developer I
• Salesforce Certified JavaScript Developer I
• Salesforce Certified Platform Developer II
Technical Skills:
• Salesforce.com: Lightning components, Apex Classes/Controllers, Test Classes, Apex Triggers, Visualforce (Pages, Component & Controllers), Community Builder, Web Services, Standard objects, Custom objects, Relationships, Workflow & Approvals, Validations, Page Layouts, Cross-object Formulas, Record Types, Security and Sharing settings, Analytic Snapshots, Reports, Dashboards, Sandbox development, and Testing.
• Salesforce Tools: Copado, VS Code, ANT, Salesforce DX, Workbench, Data Loader.
• Programming Languages: Apex, SQL, SOQL, SOSL.
• Web Languages: HTML, CSS, JavaScript.
• Additional Skills: CRM Analytics, Data Cloud, Automotive Cloud, Service Cloud.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
PySpark Data Engineer – GCP Cloud
Experience: 7–9 Years
Location: Bangalore
Role Overview
We are looking for an experienced PySpark Data Engineer with strong GCP expertise to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have strong hands-on experience in PySpark, Python, SQL, GCP data services, and Apache Airflow/Cloud Composer, with proven experience in building and supporting enterprise-grade ETL/ELT pipelines.
Key Responsibilities
Design, develop, and maintain scalable and reliable ETL/ELT data pipelines using PySpark and Python.
Develop data solutions using GCP services, including BigQuery, Google Cloud Storage (GCS), Dataproc, and Dataflow.
Build complex and optimized SQL queries for data transformation, aggregation, and analysis.
Develop and manage workflow orchestration using Apache Airflow / Cloud Composer, including DAG development, scheduling, monitoring, and dependency management.
Perform PySpark/Spark performance tuning and optimization for large-scale data processing.
Ensure data quality, integrity, consistency, and governance across data pipelines.
Monitor, troubleshoot, and resolve pipeline failures and production data issues.
Implement best practices for data engineering, version control, CI/CD, and code reviews.
Collaborate with data architects, analysts, application teams, and other stakeholders to deliver reliable and scalable data solutions.
Mandatory Skills
PySpark / Apache Spark
Python
Advanced SQL
GCP / Google Cloud Platform
BigQuery
Dataproc
Apache Airflow / Cloud Composer
Strong experience in ETL/ELT and data pipeline development
Hands-on experience with large-scale data processing and performance optimization
Good to Have
GCP Dataflow
Google Cloud Storage (GCS)
Data quality and data governance
CI/CD and Git
Production support and monitoring
Experience with distributed data processing
Experience in BFSI/Banking domain is an advantage
Candidate Profile
The ideal candidate should be a hands-on GCP Data Engineer with strong PySpark and Python expertise, capable of independently developing, optimizing, and supporting production-grade data pipelines. Strong experience with BigQuery, Dataproc, and Airflow/Cloud Composer is highly preferred.
Responsibilities
PySpark Data Engineer – GCP Cloud
Experience: 7–9 Years
Location: Bangalore
Role Overview
We are looking for an experienced PySpark Data Engineer with strong GCP expertise to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have strong hands-on experience in PySpark, Python, SQL, GCP data services, and Apache Airflow/Cloud Composer, with proven experience in building and supporting enterprise-grade ETL/ELT pipelines.
Key Responsibilities
Design, develop, and maintain scalable and reliable ETL/ELT data pipelines using PySpark and Python.
Develop data solutions using GCP services, including BigQuery, Google Cloud Storage (GCS), Dataproc, and Dataflow.
Build complex and optimized SQL queries for data transformation, aggregation, and analysis.
Develop and manage workflow orchestration using Apache Airflow / Cloud Composer, including DAG development, scheduling, monitoring, and dependency management.
Perform PySpark/Spark performance tuning and optimization for large-scale data processing.
Ensure data quality, integrity, consistency, and governance across data pipelines.
Monitor, troubleshoot, and resolve pipeline failures and production data issues.
Implement best practices for data engineering, version control, CI/CD, and code reviews.
Collaborate with data architects, analysts, application teams, and other stakeholders to deliver reliable and scalable data solutions.
Mandatory Skills
PySpark / Apache Spark
Python
Advanced SQL
GCP / Google Cloud Platform
BigQuery
Dataproc
Apache Airflow / Cloud Composer
Strong experience in ETL/ELT and data pipeline development
Hands-on experience with large-scale data processing and performance optimization
Good to Have
GCP Dataflow
Google Cloud Storage (GCS)
Data quality and data governance
CI/CD and Git
Production support and monitoring
Experience with distributed data processing
Experience in BFSI/Banking domain is an advantage
Candidate Profile
The ideal candidate should be a hands-on GCP Data Engineer with strong PySpark and Python expertise, capable of independently developing, optimizing, and supporting production-grade data pipelines. Strong experience with BigQuery, Dataproc, and Airflow/Cloud Composer is highly preferred.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 4 to 6 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
•
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Responsibilities
Description
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 4 to 6 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
•
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 7+ to 9 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Responsibilities
Description:
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 7+ to 9 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skill – IVR Automation (Cyara), SFDC (Secondary Skill)
IVR Automation Testing (Cyara) and secondary skill is Salesforce testing.
Experience – 10 yrs to 14 Yrs
Location – PAN India
Notice Period – 30- 90 Days
Responsibilities
Skill – IVR Automation (Cyara), SFDC (Secondary Skill)
IVR Automation Testing (Cyara) and secondary skill is Salesforce testing.
Experience – 10 yrs to 14 Yrs
Location – PAN India
Notice Period – 30- 90 Days
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Extensive hands-on experience in configuring and managing IBM MQ Multi-Instance Queue Managers and MQ Cluster environments for High Availability and Load Balancing.
• Strong understanding of resilient messaging architecture, failover mechanisms, and disaster recovery strategies in IBM MQ environments.
• Strong experience in IBM MQ installation, configuration, administration, and troubleshooting on Linux/AIX/Windows platforms.
• Experience in Queue Manager creation, clustering, channels, listeners, queues, and security configuration.
• Good knowledge of High Availability (HA), Disaster Recovery (DR), and failover setup for MQ environments.
• Experience in MQ monitoring, performance tuning, and issue resolution.
• Experience in SSL/TLS configuration, CHLAUTH, OAM, and MQ security best practices.
• Experience in migration, upgrade, and patching activities of IBM MQ.
• Apply OS Patching using SEROM Tools.
• Ability to support production environments and handle incident/problem management.
• Good understanding of integration middleware environments and support processes.
Good to have (optional)
• Exposure to RabbitMQ administration and messaging concepts is an added advantage.
• Good to have experience with Nastel Monitoring tools for MQ admin and Performance Monitoring
Responsibilities
• Extensive hands-on experience in configuring and managing IBM MQ Multi-Instance Queue Managers and MQ Cluster environments for High Availability and Load Balancing.
• Strong understanding of resilient messaging architecture, failover mechanisms, and disaster recovery strategies in IBM MQ environments.
• Strong experience in IBM MQ installation, configuration, administration, and troubleshooting on Linux/AIX/Windows platforms.
• Experience in Queue Manager creation, clustering, channels, listeners, queues, and security configuration.
• Good knowledge of High Availability (HA), Disaster Recovery (DR), and failover setup for MQ environments.
• Experience in MQ monitoring, performance tuning, and issue resolution.
• Experience in SSL/TLS configuration, CHLAUTH, OAM, and MQ security best practices.
• Experience in migration, upgrade, and patching activities of IBM MQ.
• Apply OS Patching using SEROM Tools.
• Ability to support production environments and handle incident/problem management.
• Good understanding of integration middleware environments and support processes.
Good to have (optional)
• Exposure to RabbitMQ administration and messaging concepts is an added advantage.
• Good to have experience with Nastel Monitoring tools for MQ admin and Performance Monitoring
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Manage day-to-day supply chain and operations.
Handle procurement, inventory, warehouse, and logistics.
Ensure timely stock availability and deliveries.
Coordinate with vendors, logistics partners, and internal teams.
Monitor inventory and reduce stock shortages/excess.
Track orders, dispatches, and deliveries.
Prepare regular operational reports.
Identify and improve operational processes.
Control logistics and operational costs.
Manage and resolve day-to-day operational issues.
Ensure smooth and efficient business operations.
Responsibilities
Manage day-to-day supply chain and operations.
Handle procurement, inventory, warehouse, and logistics.
Ensure timely stock availability and deliveries.
Coordinate with vendors, logistics partners, and internal teams.
Monitor inventory and reduce stock shortages/excess.
Track orders, dispatches, and deliveries.
Prepare regular operational reports.
Identify and improve operational processes.
Control logistics and operational costs.
Manage and resolve day-to-day operational issues.
Ensure smooth and efficient business operations.
Salary : Rs. 8,50,000.0 - Rs. 10,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
