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Big Data Engineer

 Position: Big Data Engineer

Location: Hyderabad

Salary: DOE

 

Key Responsibilities:

  1. Design, architect, and engineer big data solutions
  2. Develop a modern data analytics lakehouse
  3. Propose and standardize ELT, BI, AI, governance, and analytics
  4. Publish enterprise ingress, development, transform, egress, consumption guidelines
  5. Instrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
  6. Implement continuous integration, continuous deployment, devops practice
  7. Create, document, and manage data guidelines, governance, and lineage metrics

 

Additional Responsibilities

  1. Demonstrate a growth mindset: collaborate with customer and action joint-outcomes with passion and penchant for success
  2. Standardize devops, dataops, mlops process, technology, and architecture: propose and implement tailored solutions quickly on-demand
  3. Regularly collaborate with BRMs, business stakeholders to define requirements, technology, architecture, and deliverables
  4. Showcase ML, DL, AI solutions: fostering mentor-mentee trust/relationship with business partners
  5. Publish and share work with others: contribute to IP, publication portfolio

 

Desired Skills

  1. Big Data (Hadoop, Spark, Python, Hive)
  2. Pipeline Tools (ETL, DBT, Kafka, Flume, Nifi, Streamsets, Beam, Camel, Pandas)
  3. BI Tools (Power BI, Qlik, Tableau, Dash)
  4. Fullstack (React, Flutter, Node, Java, Angular)
  5. AI (Jupyter, Spark, H2O, Alteryx)
  6. Data Science (Python/R, Stats, Machine Learning, Deep Learning)
  7. Design for Deployment (Docker, Kubernetes, Airflow)
  8. DevOps (JIRA, Confluence, Github, Jenkins)

 

Requirements

  1. 7+ years of data management and BI experience
  2. Hands-on data warehousing, data lake, data marts, analytics experience
  3. BS in Computer Science or Information Systems
  4. 5+ years of experience with big data and BI
  5. 3+ years of SDLC/PDLC responsibilities
  6. 2+ years of customer facing solutions deployment/support experience
  7. Good communication skills; articulate concepts with clarity and confidence
  8. Experience working with an agile methodology (specifically, Scrum & SAFE framework)
  9. Ambition and ability to spearhead tasks at the speed of enterprise
  10. Demonstrate a growth mindset; share and welcome constructive input with others: embrace "we-win-together" culture

Send profile on srikcareers@outlook.com

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