Data Engineer

Truecaller is a top 20 most downloaded app globally and the world's #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities and more than 400 million active users per month.
Stockholm, Sweden
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer

Truecaller is seeking a Data Engineer to join their Infrastructure team in Stockholm, Sweden. As a Data Engineer, you will play a crucial role in building and maintaining a scalable, robust, self-service analytics platform. You'll work on maintaining and improving the ingestion pipeline to reliably deliver billions of events daily, provide support for teams in building and optimizing complex pipelines, and develop new tools and frameworks to improve the data platform. The ideal candidate should have experience with orchestration tools, large data sets, ETL pipelines, cloud providers, and strong programming skills in Spark with Scala and Python. Truecaller offers a diverse and inclusive work environment, competitive compensation, flexible working hours, and various perks including health insurance, pension contribution, and free gym membership. Join a smart, talented team of ~400 people from 35 different nationalities working together to make communication smarter, safer, and more efficient.

Last updated 3 months ago

Responsibilities For Data Engineer

  • Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in defined SLA
  • Provide support for all teams in building and optimizing their complex pipelines
  • Work closely with other teams to identify pain points and problems around the platform
  • Develop new tools and frameworks to improve the data platform
  • Facilitate company-wide to be data-driven
  • Work in close collaboration with data scientists and data analysts to help support their work in production
  • Work with vast projects such as building an ML platform and streaming use cases
  • Setup best practices and processes around software and data development

Requirements For Data Engineer

Python
Scala
Kubernetes
Kafka
  • Experience working with orchestration tool (ex: Airflow)
  • Experience working with a large data set
  • Experience building complex ETL pipelines
  • Experience working with cloud providers such as GCP, AWS, or Azure
  • Strong programming skills in Spark with Scala and Python
  • Experience working with CI/CD tools like Jenkins and Git
  • Strong understanding of Software Engineering practices and principles
  • Excellent problem-solving and communication skills
  • Self-motivated and have a proven ability to take initiative to own the problems that come up and solve them

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Education Budget
  • Competitive salary
  • 30 days of paid vacation
  • Flexible working hours
  • Private health insurance
  • Parental leave top-up
  • Pension contribution
  • Udemy membership
  • Free gym membership
  • Choice of computer and phone within budget ranges
  • Hybrid work model (office Tues-Thurs, flexible other days)
  • Office snacks and beverages
  • Company parties and team activities

Interested in this job?

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