8+ years – JAVA Full Stack with Angular, Springboot
Developer who is highly skilled in the
delivery of high quality, low defect code for use in large enterprise applications. Must be able to take stories and designs and transform into function code. Must have strong knowledge of design patterns, and best practices. Must be familiar with Safe Agile and be available to work US CT business hours..
Experience in Telecom Domain will be strong plus
Should have good communication skills
Ensure compliance to processes set by clients
Ability to work in a collaborative multi-application team environment.
Experience and desire to work in a Global delivery environment
Responsibilities
8+ years – JAVA Full Stack with Angular, Springboot
Developer who is highly skilled in the
delivery of high quality, low defect code for use in large enterprise applications. Must be able to take stories and designs and transform into function code. Must have strong knowledge of design patterns, and best practices. Must be familiar with Safe Agile and be available to work US CT business hours..
Experience in Telecom Domain will be strong plus
Should have good communication skills
Ensure compliance to processes set by clients
Ability to work in a collaborative multi-application team environment.
Experience and desire to work in a Global delivery environment
Salary : Rs. 10,00,000.0 - Rs. 20,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making.
EssentialSkills:
A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making. A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making.
Desirable Skills:
A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making. A Big Data Engineer is an IT professional specializing in the design, development, and maintenance of systems that handle and process large, complex datasets (big data). They are responsible for building the infrastructure and pipelines that allow organizations to collect, store, process, and analyze vast amounts of data, often in the terabyte and petabyte range. Key Responsibilities of a Big Data Engineer: Designing and Building Data Infrastructure: This includes creating the architecture and systems for storing and processing massive amounts of data. Data Collection and Processing: Big Data Engineers gather data from various sources, clean and transform it, and prepare it for analysis. Developing Data Pipelines: They build pipelines to move data from source systems to data storage and processing systems. Ensuring Data Quality and Integrity: Big Data Engineers implement processes to ensure the accuracy and reliability of the data. Optimizing Performance: They work to improve the efficiency and scalability of data storage and processing systems. Collaboration with Other Teams: Big Data Engineers collaborate with data scientists, analysts, and other teams to support data-driven decision-making.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description: Security Administrator (Offshore)
Security Configuration and Maintenance: Configure and maintain security groups, domain, and business process security policies to ensure robust access control.
• Account Lifecycle Management: Oversee the creation, updating, and deactivation of user accounts, ensuring accurate and secure account management.
• Incident Management: Provide Level 2 support by managing and resolving security-related incidents efficiently.
• Emergency Access Management: Administer and monitor emergency access (Break Glass) procedures to ensure secure and controlled access during critical situations.
• Compliance and Training Support: Assist in compliance reviews and facilitate security training to promote adherence to security policies and standards.
• Access Management for Lower Environments: Manage and oversee access to lower environments, such as sandbox and implementation tenants, ensuring appropriate access controls are in place.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
