ServiceNow hiring Software QA Engineer.BE/BTech/ME/MTech candidate can apply for the post.
Table of Contents
Complete details are given below:-
- Company – ServiceNow
- Roles – Software QA Engineer
- Qualification – BE/BTech/ME/MTech
- Work Experience –0-3
- Salary – 3.5 LPA – 8 LPA
- Location – Hyderabad
ABOUT THE COMPANY
ServiceNow is a cloud-based platform that provides a range of IT service management (ITSM) and business process automation solutions. It helps organizations streamline their operations, improve service delivery, and enhance overall efficiency. Here are some key aspects and capabilities of the ServiceNow platform:
IT Service Management (ITSM): ServiceNow offers robust ITSM solutions, enabling organizations to efficiently manage their IT services and support. This includes features such as incident management, problem management, change management, asset management, service catalog, and self-service portals.
IT Operations Management (ITOM): ServiceNow ITOM provides capabilities for managing and monitoring IT infrastructure, applications, and services. It includes functionalities like discovery and dependency mapping, event management, service mapping, and performance analytics.
IT Business Management (ITBM): ServiceNow’s ITBM solutions help organizations align their IT initiatives with business objectives. It includes project and portfolio management, resource management, demand management, agile development, and financial management for IT projects.
Customer Service Management (CSM): ServiceNow CSM enables organizations to deliver exceptional customer service experiences. It provides tools for managing customer inquiries, case management, self-service portals, knowledge management, and omni-channel communication.
What You Will Be Doing As Software QA Engineer
- Designing and developing data processing systems: You would be involved in designing and implementing scalable software systems that can handle big data efficiently. This includes defining data models, architecting data pipelines, and implementing algorithms for data processing, transformation, and analysis.
- Data ingestion and integration: You would work on developing mechanisms to collect and ingest data from various sources, such as databases, streaming platforms, APIs, or file systems. This involves understanding data formats, integrating with different data providers, and ensuring data quality and reliability.
- Distributed computing and storage: Big data often requires distributed computing frameworks, such as Apache Hadoop or Apache Spark, to process and analyze data in parallel across multiple nodes or clusters. You would leverage these technologies to build scalable and fault-tolerant systems.
- Data transformation and manipulation: You would develop code to clean, transform, and manipulate large datasets. This may involve tasks like data filtering, aggregation, joining, or applying complex data transformations to prepare the data for analysis or downstream processing.
- Performance optimization: Working with big data involves addressing performance challenges, as processing large datasets can be time-consuming. You would optimize software systems for efficient data processing, parallelization, and resource utilization to achieve faster query response times and overall system performance.
- Data storage and retrieval: You would work with databases and data storage systems suitable for big data, such as NoSQL databases, distributed file systems like Hadoop Distributed File System (HDFS), or cloud storage solutions. You may also handle data indexing, partitioning, and retrieval mechanisms to enable efficient data access.
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Skills Required for Software QA Engineer
- Programming languages: Proficiency in programming languages commonly used in big data environments is crucial. This includes languages like Java, Python, Scala, or R. You should be comfortable writing efficient and optimized code in these languages.
- Big data frameworks and technologies: Familiarity with popular big data frameworks and technologies is essential. These may include Apache Hadoop, Apache Spark, Apache Kafka, HBase, Apache Hive, Apache Flink, or similar technologies. Understanding their architecture, components, and usage is important for developing scalable and efficient big data systems.
- Data processing and analysis: Strong knowledge of data processing and analysis techniques is necessary. This includes skills in data transformation, data manipulation, data cleaning, data aggregation, and statistical analysis. Experience with SQL and NoSQL databases is valuable for working with large datasets.
- Distributed computing: Understanding distributed computing concepts is critical for dealing with big data. Familiarity with distributed file systems, parallel computing frameworks, and distributed data processing techniques is essential to leverage the power of distributed systems effectively.
- Data modeling and database systems: Proficiency in data modeling and database systems is necessary to design and optimize data storage and retrieval processes. Knowledge of relational databases, NoSQL databases, and data warehousing concepts is beneficial.
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HOW TO APPLY FOR ServiceNow 2023 ?
To apply for the ServiceNow 2023 Off Campus Drive – interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to ServiceNow company official career page.
- Click on “Apply Online”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Provide accurate information in your application.
- Verify that all the details entered are correct.
- Submit the application process after verification.
INTERESTED CANDIDATES CAN APPLY THROUGH THE BELOW LINK
Software QA Engineer-Hyderabad location
ServiceNow – Frequently Asked Question?
What is the ServiceNow selection process?
The selection process will be based on a Written test followed by Technical and HR interviews.
What is the average salary for the post?
The average salary is 3.5 LPA – 8 LPA for the this role.
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DISCLAIMER:
The Recruitment Information Provided above is for Informational Purposes only . The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information