Data Pipeline Engineer

FocusKPI

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

FocusKPI isseeking aData Pipeline Engineerto join one of our clients a high-tech SaaS company.

The team is seeking world-class server software engineers with experience in Big Data Infrastructure and Data warehousing to join their technology innovation group which focuses on rapidly developing AI-driven cloud-based end-to-end mobile applications and services.

Data Pipeline Engineer IV involves building & managing pipelines and ETLs requiring expertise with Spark Iceberg and Python coding as the main requirements.


Work Location:Mountain View CA(Hybrid role 4 days/week onsite mandatorily)
Duration:12-monthcontract with potential to convert depending on the candidates performance
Pay Range:$85/hr to $95/hr

**No C2C resumes are considered**

Responsibilities:

  • Implement maintain and evolve the big data platform and infrastructure
  • Responsible for designing implementing and maintaining backend REST API Services and ETL processes for Predictive Data Modeling Machine Learning Personalization Recommendation and Business Intelligence systems
  • Perform extensive research and analysis to make optimal architecture and design decisions
  • Write large amounts of code perform code reviews write unit tests and documentation
  • Interface with other groups including Product Management QA and Operations Create quick proof-of-concept prototypes
  • Work in a scrum team with ML & Cloud Engineers
Qualifications:
  • Minimum of 4years of hands-on experience in Big Data technologies like Apache Iceberg Spark Spark ML & KafkaAnA
  • Mastersin Computer Science or equivalent experience is preferred
  • Expertise with Spark and Iceberg aremandatory to have
  • Strong skills in statistical analysis: correlation analysis regression analysis univariate and multivariate analysis
  • Programming Language: Python coding expertise is required
  • Strong skills in algorithms Data structures UNIX/Linux Scripting Machine Learning (especially classification and unsupervised clustering) Data Modeling Data warehousing and Networking
  • Hands-on experience in building REST APIs
  • Team player with strong communication skills and ability to mentor ML & Cloud engineers in areas of Data Engineering
  • Desire to learn fast and pick up the latest and greatest technologies

Preferred qualifications:
  • Preferred 7 years of experience in Big Data Technologies: AWS EMR Iceberg Spark Kafka & YARN
  • Machine Learning: PyTorch TensorFlow Spark ML
  • REST API: Flask FastAPI or Django
  • Data Quality tools such as Monte Carlo Great Expectations or Databand
  • Experience with teams using MLflow

**No C2C resumes are considered**

Thank you!

FocusKPI Hiring Team

Founded in 2010 FocusKPI Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley California with an East Coast office in Boston Massachusetts.

NOTICE: Please be aware of fraudulent emails regarding job postings job offers and fake checks. FocusKPIs recruiting team will strictly reach out via @ email domain. If you have received fraudulent emails now or in the past please report it to .
The domain @ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @.


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Manager

FocusKPI isseeking aData Pipeline Engineerto join one of our clients a high-tech SaaS company.The team is seeking world-class server software engineers with experience in Big Data Infrastructure and Data warehousing to join their technology innovation group which focuses on rapid...
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Key Skills

  • Continuous Integration
  • Docker
  • Jenkins
  • Kubernetes
  • Build Automation
  • S3
  • ASME Codes & Standards
  • Redshift
  • Spark
  • CI/CD
  • Kafka
  • Scala

About Company

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FocusKPI offers custom marketing analytics solutions and specialized data science support to fit your timeline and budget. Among our areas of expertise are: personalization solutions, measurement (MMM & MTA), and customer sentiment analysis.

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