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Senior Data Engineer, Data Platform team

Truecaller

Stockholm, Sweden

Posted almost 3 years ago

Changing the way hundreds of millions of people interact with each other every day 🤝

Tech stack

  • SQL

We in the Data Platform work on a vision to empower our product-oriented teams with a complete self-service analytics platform and make data-driven decisions possible in Truecaller, guaranteeing the stability, velocity, and delivery of the mainstream event pipeline.

As a Sr Data Engineer, you will play an important role in the Data Platform team whose vision is to make data-driven decisions possible at Truecaller. Also to empower product-oriented teams with a complete self-service analytics platform, guaranteeing the stability, velocity, and delivery of the mainstream event pipeline.

What we expect from you:

  • Experience working with orchestration tools like Airflow
  • Experience working with big data and ETL development
  • Programming skills in Spark with Scala and Python 
  • Experience working with cloud providers like GCP, AWS or Azure
  • Excellent problem solving and communication skills both with peers and experts from other areas
  • Self-motivated and have a proven ability to take initiative to own the problems that come up and solve them
  • Hands on experience with SQL in large scale of data
  • Strong understanding of Software Engineering
  • Working with messaging systems like Kafka
  • Good understanding of Hadoop ecosystem

What you will work on

  • Maintain g and develop the Ingestion pipeline
  • Provide support for all teams in building up their pipeline
  • Gather and analyze the requirements from other business units in order to provide new functionalities, build new tools, develop and maintain Truecallers Data Platform
  • Facilitate company to make data-driven decisions
  • Work in close collaboration with data scientists and data analysts in other teams
  • Work with vast projects like building ML platform and streaming use cases

It would be great if you have

  • Hands on experience on Google Cloud Platform
  • Knowledge in Kubernetes
  • Hands on experience with streaming platform and applications working with Kafka streaming, flink or spark streaming
  • Experience managing Data Warehouse in BigQuery or Redshift

Compensation

kr649K - 780K + Equity

Role type

Full time

Visa sponsorship

Offered

Benefits & perks

  • Flexible Working

  • Pension

  • Sponsorship available

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