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In a consulting environment meet with client user management in order to gather and evaluate requirements within the client's existing computer environment with the objective of providing improved big data applications. Participate in the full application development cycle including analysis, design, development, testing (unit/regression), documentation, implementation and monitoring of Big Data applications utilizing JAVA J2EE, Python (the programming languages). Kafka (a messaging application), Hadoop Big Data applications (software framework for distributed storage and processing of big data, Spring (a web application development tool) Spark (open-source framework used to process big data), AWS (services to build applications on the cloud), HBase (database for real time and big data applications). Maintain development documentation utilizing Agile methodology.
Test Big Data applications to ensure they function optimally and consistent with business requirements and specifications. Evaluate client's overall software environment to identify opportunities to improve functionalities and communications between various applications and to test those functionalities (technical term Mater Data Management). Design test and data strategy, test plans, scenarios, scripts and procedures. Create and maintain databases of known test defects. Design and develop automated testing suites using SQL Query. Develop testing programs addressing functionality of data warehouse, business intelligence, and Big Data applications. Create test scripts for system integration regression, and performance testing. Document software defects, using bug tracking systems (HP ALM, JIRA, QC). Create test matrixes and various testing reports. Consult with other departments on proposals and technical gap analysis and assessment. Identify risks involved in the tests and prepare action plans for identifiable risks prior to execution of testing. Support implementation activities and involved in post testing installation consistent with business acceptance testing. Categorize prioritize and map planning and forecasting. Execute batch jobs in UNIX using HIVE, Hadoop, Mapreduce and Hbase framework. Execute web services test scenarios using SOAPUI and Postman across multiple browsers. Develop SQL queries to identify and verify data used by code. Maintain Testing suites using QC framework. Participate in testing of applications in the migration of data across various platforms.
In a consulting environment meet with client user management in order to gather and evaluate requirements within the client's existing computer environment with the objective of providing improved big data applications. Participate in the full application development cycle including analysis, design, development, testing (unit/regression), documentation, implementation and monitoring of Big Data applications utilizing JAVA and Scala (programming languages for the back end), Hadoop, Spark, (frameworks needed to develop big data applications), Springboot (framework for JAVA applications on the web), AWS (cloud computing framework), and NoSQL (database for big data applications). Gather data sets and analyze data utilizing AI. Maintain development documentation utilizing Agile methodology.
Qualification & Experience:
Requires a Master’s Degree in Computer Engineering and 1 year of experience. In lieu of, will accept a Bachelor's Degree in Computer Engineering and 5 years of progressive experience, or any suitable combination of education, training or experience thereof. No less than a Bachelor's Degree in Computer Engineering and 5 years of experience is acceptable.
The employer licenses and supports their proprietary software to clients throughout the US. In this environment meet with client user and IT management in order to gather and evaluate requirements within the client's existing computer environment with the objective of providing improved big data applications and migration to the Cloud. From requirements develop technical specifications and participate in the full application development cycle including analysis, design, development, testing (unit/regression), documentation, implementation of applications suite on client Big Data platform utilizing HIVE, Spark, UNIX with Java/SCALA/ Python API (these are components required to develop and utilize Big Data applications). Architect and migrate applications to the cloud. Monitor the development process utilizing Agile methodology
Qualification & Experience:
Requires a Master's Degree in Computer Science & Information Technology or Computer Engineering and 1 year experience. In lieu of, will accept a Bachelor's Degree in Computer Science & Information Technology or Computer Engineering and 5 years of experience, or any suitable combination of education, training or experience thereof. No less than a Bachelor's Degree in Computer Science & Information Technology or Computer Engineering and 5 years of experience is acceptable. Experience can be progressive
In a consulting environment meet with client user management in order to gather and evaluate requirements within the client's existing computer environment with the objective of providing improved big data applications. From requirements develop technical specifications and participate in the full application development cycle including analysis, design, development, testing (unit/regression), documentation, implementation and monitoring of Big Data applications utilizing Python and Data Warehousing ETL tools (these are components required to develop and utilize big data applications). Monitor the development process utilizing Agile methodology.
Qualification & Experience:
Requires a Master's Degree in Information Technology and 1 year experience. In lieu of, will accept a Bachelor's Degree in Information Technology and 5 years of experience, or any suitable combination of education, training or experience thereof. No less than a Bachelor's Degree in Information Technology and 5 years of experience is acceptable. Experience can be progressive.
Role/Skills: In a consulting environment meet with client user management in order to gather and evaluate requirements within the client's existing computer environment with the objective of providing improved big data applications. Participate in the full application development cycle including analysis, design, development, testing (unit/regression), documentation, implementation and monitoring of Big Data applications utilizing JAVA and Scala (the programming languages). Hadoop (software framework for distributed storage and processing of big data), Spring boot (a unified configuration model for building cloud-based applications), Spark (open-source framework used to process big data), AWS (services to build applications on the cloud), NoSQL (database for real time and big data applications). Maintain development documentation utilizing Agile methodology.
The employer provides software product development and big data analytics, storage and retrieval software and services in an on-shore off-shore development environment. Meet with IT and/or business management to gather requirements pertaining to their data storage and retrieval and analytics requirements to optimize business operations at all levels. Evaluate prospective client's existing business, operations, technology, current data storage and analytic capabilities in order to provide solutions pertaining to big data analytic requirements on premises and the Cloud. Identify key requirements and provide solutions for clients utilizing best practices. Implement data warehousing applications in Big Data environment. Participate in the full development cycle including analysis, development, testing, documentation of cloud based applications utilizing Hadoop (a suite of development tools used to develop big data based applications), Spark (a tool that leverages existing Hadoop tools to speed and improve big data application performance), and AWS (a suite of development tools used to deploy applications to the cloud). Assist in machine learning model development by working with Data Scientist and implementing those model in Big Data application. Monitor complete development life cycle to ensure it comports with client expectations and contractual obligations as set forth and detailed in the SOW.
Qualification & Experience:
Requires a Master's Degree in Computer Applications and 1 year of experience. In lieu of, will accept a Bachelor's Degree in Computer Applications and 5 years of progressive experience, or any suitable combination of education, training or experience thereof. No less than a Bachelor's Degree in Computer Applications and 5 years of progressive experience is acceptable.
The successful candidate will lead Big Data Engineering team for Impetus from Gurgaon / Bengaluru (India) office. The selected candidate will be fully responsible for solution design delivery achieving engineering excellence of services.
The Analytics Engineer will be responsible for modeling and analysis of data for mining of useful patterns used for business and other purposes. He should be able to understand data by performing exploratory data analysis, visualize it, process it using various data mining/machine learning algorithms like classification, clustering, recommendation, extract value from it and communicate it effectively.
Skill Required:
Required skills and attributes:
A career at Impetus gives you the opportunity to work alongside outstanding leaders and be driven by endless opportunities for growth, exposure to cutting-edge technologies, and learning possibilities. At Impetus, we let people be themselves and magnify their strengths to help them deliver the best – every time.
Impetus provides an environment that fosters creative thinking and challenges the status quo.Employees enjoy the freedom to craft practical solutions for day-to-day technology and business problems that go beyond their core responsibilities.
We encourage our employees to keep their minds sharp and to continually improve their skill sets through mentoring and emerging leadership programs.
We work with you to ensure you get the most out of working with us.
Work out with colleagues at lunch, or take a yoga class, and come back rejuvenated. With benefits such as access to multiple wellness programs, organic meals, concierge and commute facilities, we have got you covered. Our benefits are intended to take care of you and keep you healthy, whether emotionally, financially, physically, or socially.
Know more about the employee benefits.
We build a culture of trust and camaraderie for an environment to bolster creativity and innovation. Our benefit programs, employee engagement and development initiatives, and work-life balance address the needs and ambitions of our employees. With cutting-edge work, transformational learning interventions, World-class infrastructure, and facilities like concierge, crèche, ATM, and work-from-home options, we ensure fast-paced career progression with increased flexibility.
Creditable and global organizations have recognized and appreciated our passion for technology and great work culture.
"We pride in having the right people with the right solutions at the right place at the right time."
- Mike Harden
“At Impetus, each day provides endless learning opportunities. The environment is very positive and inducive to growth."
- Ritu Bapna
“Life here means immense growth opportunities, self-learning, and partying together.”
- Sarthak Garg
"Impetus provides endless opportunities of growth and the flexibility to work as I want to, which ensures I have the perfect work-life balance."
- Sulagna Ganguly
"Everyone talks about building a relationship with your customer. I think you build one with your employees first. I am lucky to be a part of such an organization which agrees to this philosophy."
- Mohit Sinha
