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← Placer.ai

Big Data Engineer

Placer.ai
Location
Ramat Gan, Israel
Posted
27 days ago
Department
R&D
What they actually want (must-haves)
  • Strong hands-on Apache Spark experience — building and operating pipelines in production
  • Proficiency in PySpark or Scala for Spark development
  • Proven track record delivering ETL pipelines and data integration at scale
  • Solid SQL skills and command of data modeling concepts
  • Cloud platform experience (AWS, GCP, or Azure) in a production data context
  • Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)
Nice to have
  • Experience with pipeline orchestration tools, particularly Apache Airflow
  • Exposure to the geospatial or location analytics domain
  • Familiarity with Hadoop ecosystem components
  • Background in both Python and Scala (beyond Spark context)
What the job really is

As a Senior Big Data Engineer at Placer.ai, you will be responsible for designing and maintaining the data infrastructure that supports the company's location analytics platform. Your day-to-day tasks will include building and optimizing data pipelines, ensuring data quality, collaborating with cross-functional teams, and providing mentorship to junior engineers. You will also work extensively with cloud technologies and implement data governance practices.

Benefits
  • Competitive salary
  • Excellent benefits
Things to weigh
  • No salary listed
  • Focus on cloud technologies (GCP and AWS) may require specific expertise
  • Mentorship responsibilities may add to workload
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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