HP is hiring for the role of Big Data Engineer for a Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent in Bangalore, India. Candidate should have 4-6 years’ experience in a data analyst or data engineering type role. Interested candidates can apply for this recruitment drive and register through the given link. The detailed eligibility criteria to qualify and the application process are given below.
Job Summary of HP:
Company Name: HP
Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or equivalent
Experience: 4-6 years’ experience in a data analyst or data engineering type role
Location: Bengaluru
Job Role: Big Data Engineer
Role Description:
In order to deploy data products, we are looking for a high caliber and detail-oriented Data Engineer who can work in collaboration with cross-functional, cross-regional teams to establish and improve data pipelines. She / He will also be responsible for designing table structures and data flows, automating repetitive data tasks, building and maintaining data dictionaries, finding/resolving data anomalies and data errors. This would, in turn, enable downstream data analyses and AI/ML models.
The analyst would act as an informed team member who can help bridge technical data requirements.
Responsibilities:
- Establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data platform, repositories or models for structured/unstructured data.
- Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
- Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Works with the data engineering team for all phases of larger and more-complex development projects and engages with external users on business and technical requirements.
- Collaborates with peers, engineers, data scientists and project team.
- Typically interacts with high-level Individual Contributors, Managers and Program Teams on a daily/weekly basis.
- Defines and leads portions of project requirements for data exchanges and business requirements with externals and internal teams
- Creates plans, data collection and analysis procedures and works with data insight visualization teams for assigned projects.
- Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
- Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
Education and Experience Required:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or equivalent.
- 4-6 years’ experience in a data analyst or data engineering type role.
Knowledge & Skills:
- Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
- Fluent in relational based systems and writing complex SQL.
- Fluent in programming and automating repetitive tasks – preferably using VBA and Python
- Fluent in complex, distributed and massively parallel systems.
- Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
- Designing data systems/solutions to manage complex data.
- Strong understanding of database technologies and management systems.
- Strong understanding of cloud-based systems/services, including the AWS environment.
- Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
- Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.
- Using scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data.
- Excellent written and verbal communication skills
- Strong interpersonal skills and ability to work in a collaborative environment
How to Apply HP for the role of Big Data Engineer?
Apply Link of HP & For More Details: Click Here
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This notification is for the recruitment of the Big Data Engineer of HP. You can apply through the given link for the profile of the Big Data Engineer.