(PQF91) | InfoSight Senior Data Engineering Software Developer

(PQF91) | InfoSight Senior Data Engineering Software Developer

22 Dec
Hp Enterprise Services

22 Dec

Hp Enterprise Services


Job Description

You will be joining an agile, empowered team, focused on developing and managing a big data processing engineering solution and platform that enables and powers the analytics that are at the core of HPE InfoSight. The HPE InfoSight Data Engineering Platform collects and processes millions of data from HPE storage and other HPE appliances to create state-of-the-art big data analytics based monitoring and predictive analytics solution. Are you passionate about backend development, architecture design, measurement, agile principles, testing, security, frequent production releases,

and building tools to automate? Are you all about ensuring that there are no manual or mundane tasks done by humans? Can you imagine doing things at scale, yet be part of every stage leading up to large-scale compute and storage?

Skillset Requirements:

Primary: Strong hands-on development experience on Linux using Python, Shell and Perl

Excellent in database technologies, SQL stored procedure, optimizing DB queries, fundamental DB performance tuning, sharding at enterprise level big data solutions

Experience in networking, firewall and systems programming

Strong troubleshooting, analysis, and problem-solving skills

Secondary: Experience in Vertica and NSDiag

Systems internals and development on VMs

E2E development and management of distributed on-prem server-side platform infrastructure, K8, monitoring

Good to have: Experience in API development, GraphDB, Prometheus, Play, and server-side programming

DevOps fundamentals

Development experience in Cloud Platform services

Experience in Agile methodologies

Excellent verbal and written communication skills

Education and Experience

8 years of relevant experience

Bachelor/Master degree in Computer Science, or equivalent Engineering discipline


Develop, test and manage ETL, data engineering pipelines, data transformations, analytics, and monitoring

Design, scale and manage database systems, SQL DB, views, sharding, schema, optimize queries and performance

Design, develop, and manage backend platform of distributed, high-throughput, low-latency, highly available, and resilient data engineering pipelines

Design, develop and automate server-side software that remotely collects, processes, and manages streaming big data from apps

Proactive planning, ability to prioritize, handle customer escalations and manage SLA

Build API, monitoring tools for server-side components

Take ownership, work cohesively in globally distributed team

Inspire and mentor junior engineers on the team

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