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Data Engineer [0807]

Dataforest·Salary not specified

Primary stack

KafkaPythonSQL

Nice to have's

PandasNoSQLAmazon Web ServicesSparkAirflowstatistics

Job description

About the Position

Dataforest is looking for a Data Engineer to join our team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Responsibilities

  • Create ETL pipelines and data management solutions (API, Integration logic)
  • Implement different data processing algorithms
  • Involvement in the creation of forecasting, recommendation, and classification models

Requirements

  • 2+ years of experience with Python
  • 2+ years of experience as a Data Engineer
  • Experience with Pandas
  • Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery
  • Familiarity with Amazon Web Services
  • Experience with Kafka
  • Knowledge of data algorithms and data structures is a MUST
  • Working with high volume tables 10m+

Nice to Have

  • Experience with Spark (pyspark)
  • Experience with Airflow
  • Experience in statistics
  • Knowledge of DS and Machine learning algorithms

We Offer

  • Great networking opportunities with international clients, challenging tasks
  • Building interesting projects from scratch using new technologies
  • Personal and professional development opportunities
  • Competitive salary fixed in USD
  • Paid vacation and sick leaves
  • Flexible work schedule
  • Friendly working environment with minimal hierarchy
  • Team building activities, corporate events

About the Company

Join our team and be part of an innovative environment where you can grow and develop your skills.

© Dataforest. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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