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Enterprise Analytics Engineer

Zoek Pin Bengaluru, Karnataka

Permanent (Full time)

Posted 14 days ago

At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work. What sets us apart? Our people and our relentless dedication to helping our customers make their mark on the world. We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy. We live by our three values: partner, innovate and act. Our legacy inspires us as we forge ahead, always pushing to discover what’s next. Every day is a new opportunity to advance and grow ourselves, our company and the industry. Some people call it an obsession, we call it a way of you need to know about the job As an enterprise analytics engineer, you will be fascinated with data and analytics. You will obtain, manage, showcase, and evangelize big data solutions. You will build actionable insights to advance HPE's business goals. Besides building performant MIS, BI, AI, IT solutions to cater to many of our businesses, it is important that you innovate, propose and action opportunities towards our Everything-as-a-Service strategy. You will have a proven track record of implementing scalable data insights and managing tier 1 dataops to qualify for this role. You will be a "doer": one who is not afraid to deep dive into technology, code, and dashboards to meet tight Responsibilities:Design, architect, and engineer big data solutionsDevelop a modern data analytics lakehousePropose and standardize ELT, BI, AI, governance, and analyticsPublish enterprise ingress, development, transform, egress, consumption guidelinesInstrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: ., own operational continuous integration, continuous deployment, devops practiceCreate, document, and manage data guidelines, governance, and lineage metricsAdditional ResponsibilitiesDemonstrate a growth mindset: collaborate with customer and action joint-outcomes with passion and penchant for successStandardize devops, dataops, mlops process, technology, and architecture: propose and implement tailored solutions quickly on-demandRegularly collaborate with BRMs, business stakeholders to define requirements, technology, architecture, and deliverablesShowcase ML, DL, AI solutions: fostering mentor-mentee trust/relationship with business partnersPublish and share work with others: contribute to IP, publication portfolioDesired SkillsBig Data (Hadoop, Spark, Python, Hive)Pipeline Tools (ETL, DBT, Kafka, Flume, Nifi, Streamsets, Beam, Camel, Pandas)BI Tools (Power BI, Qlik, Tableau, Dash)Fullstack (React, Flutter, Node, Java, Angular)AI (Jupyter, Spark, H2O, Alteryx)Data Science (Python/R, Stats, Machine Learning, Deep Learning)Design for Deployment (Docker, Kubernetes, Airflow)DevOps (JIRA, Confluence, Github, Jenkins)Requirements7+ years of data management and BI experienceHands-on data warehousing, data lake, data marts, analytics experienceBS in Computer Science or Information Systems5+ years of experience with big data and BI3+ years of SDLC/PDLC responsibilities2+ years of customer facing solutions deployment/support experienceGood communication skills; articulate concepts with clarity and confidenceExperience working with an agile methodology (specifically, Scrum & SAFE framework)Ambition and ability to spearhead tasks at the speed of enterpriseDemonstrate a growth mindset; share and welcome constructive input with others: embrace "we-win-together" culture GlobalITIN1078304 HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status

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