Data Engineer
Data Engineer maintaining and improving large-scale data ingestion pipelines and a self-service analytics platform, using Spark (Scala/Python), cloud providers, and orchestration tools like Airflow.
- Compensation
- Not disclosed
- Location
- Stockholm, Sweden
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3+ years of experience in data engineering
- Experience working with an orchestration tool (e.g., 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 with proven ability to take initiative and own problems
Nice to have
- Working with messaging systems like Kafka
- Knowledge of Kubernetes
- Hands-on experience with any streaming platform
- Experience managing a data warehouse in BigQuery or Redshift
Full description
Join Truecaller – The place where innovation meets impact!
Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out:
- We are trusted by over 500 million active users every month across 190+ countries
- We identify over 15 billion calls daily, helping users avoid spam and scams
- We are powered by a team of 400+ employees from 45+ nationalities
We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in.
The role:
As a Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform.
What you'll do:
- Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a 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
- 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
- Set up best practices and processes around software and data development
What you bring in:
- 3+ years of experience in data engineering
- Experience working with an 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 the initiative to own the problems that come up and solve them