HP Job Openings in Pune for Data Engineer

Job Id: 20210428006

Company: HP

Job Role: Data Engineer

Experience: 6-10 Years

Qualification: Bachelor’s or Master’s degree

Job Location: Pune

Salary: Best in Industry

Vacancies: Not Mentioned

Website: www.hp.com

Job Description HP Job Openings in Pune for Data Engineer in April 2021:

Responsibilities

Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
Builds and manages relationships throughout the organization
Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
Drives innovation and integration of new technologies into projects and activities in the big data space.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data engineering team for all phases of larger and more-complex development projects.
Provides guidance and mentoring to less experienced staff members.

Knowledge & Skills

Extensive experience with data engineering tools, languages, frameworks to mine, cleanse and explore data.
Strong experience in Apache Spark.
Strong experience in programming languages(Python preferred)
Good to have AWS solution architect certification
AWS cloud knowledge is must, candidate should have hands on experience on Kinesis, SQS, SNS, S3, Athena, EMR, Elastic Search, Quicksight, Redshift, Cloudwatch.
Strong decision-making skills in terms of data analysis and must have the ability to architect large data.
Agile and scrum methodologies is a must to know

Scope & Impact

Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
Leads multiple projects requiring data engineering solutions development.
Drives design innovation.

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