Data Engineering Lead

hace 17 horas


Municipio La Guajira, Venezuela Windfall A tiempo completo

Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights.

By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes.

About the Company

More than 850 data-driven organizations use Windfall to power their business.

We comply with CCPA and take the privacy and security of our customers' data very seriously.

What You'll Do

As a Lead Data Engineer, you will play a key role in designing and building the core data asset that everything else at Windfall is built on top of.

You will work closely with our product, data science, and other engineering teams to build pipelines for massive datasets, taking them from inception to exploration to production and customer use.

Some of the responsibilities of the role include:

  • Constructing data pipelines to ingest and merge billions of individual entities into Windfall's core data asset
  • Working closely with our data science team to run ML models on top of billions of data points
  • Building supporting data services and applications to orchestrate and monitor our data systems

Some of the technologies you will use include:

  • Cloud platform - GCP
  • Programming languages - Java, Python, and Kotlin
  • Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra
  • Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
  • Orchestration - Airflow
Requirements

To be successful in this role, you will need:

  • 8+ years of professional data engineering experience
  • Significant experience working with Apache Beam/Spark/Flink or MapReduce
  • Strong Object-oriented programming ability
  • Expert knowledge of distributed data processing
  • Familiarity with different datastores, their differences, and appropriate usages
  • Experience at a sub-200 person company

You should also be able to:

  • Communicate as well as you code
  • Simplify complex problems into simple solutions
  • Balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
  • Be comfortable making trade-offs between quality, complexity, and speed-of-delivery

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