Data Engineer Position

5 hours ago


Stockholm, Stockholm, Sweden True Software Scandinavia AB Full time

True Software Scandinavia AB is a leader in making communication smarter, safer, and more efficient. Our team of experts works tirelessly to build trust everywhere.

Company Overview

We're proud to be the top 20 most downloaded apps globally and the world's #1 caller ID and spam-blocking service for Android and iOS. With over 400 million active users per month, we're dedicated to providing smart services with a big social impact. Our goal is to keep you safe from fraud, harassment, and scam calls or messages, so you can focus on the conversations that matter.

Salary and Benefits

We offer a competitive salary and a great compensation package. You'll enjoy 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.

Job Description

As a Data Engineer, you will play an essential role in our Data Platform team. Your primary responsibility will be building and maintaining a scalable, robust, self-service analytics platform. This platform will empower our product-oriented teams to make data-driven decisions possible in Truecaller, guaranteeing the stability, velocity, and delivery of the mainstream events pipeline.

Required Skills and Qualifications

To succeed in this role, you'll need:

  • 3+ years of experience in data engineering
  • Experience working with orchestration tools (e.g., Airflow)
  • Experience working with large datasets
  • Experience building complex ETL pipelines
  • Experience working with cloud providers (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
Benefits

You'll have the opportunity to 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 adoption of data-driven decision-making. Work in close collaboration with data scientists and data analysts to support their work in production. Setup best practices and processes around software and data development.

Other Opportunities

Additionally, you'll have the chance to work on vast projects such as building an ML platform and streaming use cases. Experience with messaging systems like Kafka would be beneficial, as well as knowledge in Kubernetes and hands-on experience with any streaming platform. Managing a data warehouse in BigQuery or Redshift would also be a valuable skill to have.



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