Data Engineer
Buenos Aires
hace 4 días

MongoDB is growing rapidly and seeking a Data Engineer to be a key contributor to the overall internal data platform at MongoDB.

You will build data driven solutions to help drive MongoDBs growth as a product and as a company. You will take on complex data-related problems using very diverse data sets.


You have experience with :

  • several programming languages (Python, Scala, Java, etc.)
  • data processing frameworks like Spark
  • streaming data processing frameworks like Kafka, KSQ, and Spark Streaming
  • a diverse set of databases like MongoDB, Cassandra, Redshift, Postgres, etc.
  • different storage format like Parquet, Avro, Arrow, and JSON
  • AWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc.
  • orchestration tools such as Airflow, Luiji, Azkaban, Cask, etc.
  • Git and Github
  • CI / CD Pipelines
  • Also

  • Enjoy wrangling huge amounts of data and exploring new data sets
  • Value code simplicity and performance
  • Obsess over data : everything needs to be accounted for and be thoroughly tested
  • Plan effective data storage, security, sharing and publishing within an organization
  • Constantly thinking of ways to squeeze better performance out of data pipelines
  • Bonus Points

  • You are deeply familiar with Spark and / or Hive
  • You have expert experience with Airflow
  • You understand the differences between different storage formats like Parquet, Avro, Arrow, and JSON
  • You understand the tradeoffs between different schema designs like normalization vs. denormalization
  • In addition to data pipelines, you’re also quite good with Kubernetes, Drone, and Terraform
  • You’ve built an end-to-end production-grade data solution that runs on AWS
  • You have experience building machine learning pipelines using tools likeSparkML, Tensorflow, Scikit-Learn, etc.
  • What?

    As a Data Engineer, you will :

  • Build large-scale batch and real-time data pipelines with data processing frameworks like Spark on AWS
  • Help drive best practices in continuous integration and delivery
  • Help drive optimization, testing, and tooling to improve data quality
  • Collaborate with other software engineers, machine learning experts, and stakeholders, taking learning and leadership opportunities that will arise every single day
  • MongoDB is an equal opportunities employer*
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