Data Engineer

Quanta Search

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in building production-grade big data ETL pipelines.
  • Expertise in developing and maintaining distributed services and microservice architecture.
  • Proficiency with tools such as Hadoop, Spark, Apache Beam, Dataflow, Hive, and Storm.
  • Experience with real-time big data streaming systems.
  • Strong grasp of data structures and algorithms.

Responsibilities

  • Develop and maintain production-grade data pipelines and databases.
  • Ensure data availability and reliability across external and internal systems.
  • Design and implement robust microservices for data processing.
  • Work on real-time data streaming solutions to support analytics and insights.
  • Enhance data cleanliness and integrity across all platforms.

Benefits

  • Opportunities for professional growth and advancement.
  • Access to cutting-edge technologies and tools.
  • Collaborative work environment that encourages innovation.
  • Flexible work arrangements to support work-life balance.
Full Job Description
Data Engineers are responsible for the data infrastructure. The build systems designed for reliable data delivery and ingestion. Data Engineers develop and maintain internal and external facing APIs. They care deeply about data cleanliness and developing robust data pipelines.

What they will do:

They will be responsible for production grade data pipelines, databases, and data availability.

Minimum Requirements:
  • Production grade, big data ETL pipeline experience.
  • Building and maintaining distributed services.
  • Hadoop, spark, apache beam, dataflow, hive, storm, etc.
  • Real-time big data streaming.
  • Microservice architecture design and development.
  • Strong understanding of data structures and algorithms.

Plus, but not required:
  • Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc).
  • Experience building and deploying distributed sql & nosql databases (i.e., Cassandra).
  • Experience scraping large scale public data-sets in real time.
  • Distributed, GPU-based cluster architecture.
  • Experience with large-scale ML engineering.
  • Experience building frontend systems.

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