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Enterprise Analytics Big Data Engineer

1.00 to 5.00 Years   Bangalore   03 Nov, 2021
Hewlett-Packard India Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

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 HPEs 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 commitments.Key Responsibilities:

  • Design, architect, and engineer big data solutions
  • Develop a modern data analytics lakehouse
  • Propose and standardize ELT, BI, AI, governance, and analytics
  • Publish enterprise ingress, development, transform, egress, consumption guidelines
  • Instrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
  • Implement continuous integration, continuous deployment, devops practice
  • Create, document, and manage data guidelines, governance, and lineage metrics
Desired Skills
  • Big 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)
Requirements
  • 5+ years of data management and BI experience
  • Hands-on data warehousing, data lake, data marts, analytics experience
  • BS in Computer Science or Information Systems
  • 3+ years of experience with big data and BI
  • 1+ years of SDLC/PDLC responsibilities
  • Good communication skills; articulate concepts with clarity and confidence
  • Experience working with an agile methodology (specifically, Scrum & SAFE framework)
  • Demonstrate a growth mindset: collaborate with customer and action joint-outcomes with passion and penchant for success
  • Standardize devops, dataops, mlops process, technology, and architecture: propose and implement tailored solutions quickly on-demand
  • Regularly collaborate with BRMs, business stakeholders to define requirements, technology, architecture, and deliverables
  • Showcase ML, DL, AI solutions: fostering mentor-mentee trust/relationship with business partners
#GlobalITIN*******This role has been designated as Edge , which means you will primarily work outside of an HPE officeHPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status,

Keyskills :
data martsdata managementbig dataagile methodologycomputer sciencehivedata analyticsjavacontinuous integrationmachine learninghadoopcommunication skillsapache webserverdata warehousing

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