Senior Data Engineer
Design and build scalable data pipelines and infrastructure to enhance Smart SMS features for millions of users.
Posted by employer 3 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 21 hours ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Engineer at Truecaller, the individual will focus on designing and maintaining scalable data pipelines that support various features, including fraud detection and AI capabilities. Proficiency in tools like Airflow, Spark, and cloud platforms such as GCP is essential, along with strong programming skills in Scala and Python. This position is ideal for experienced engineers who thrive in collaborative environments and are eager to tackle complex data challenges. Truecaller fosters a culture of innovation, encouraging team members to explore new ideas through initiatives like Lab Days.
Joblaze insights
Quick facts
- Is the Senior Data Engineer role remote?
- It's hybrid — Truecaller expects some on-site time in Stockholm, Sweden.
- Where is the role based?
- Truecaller is hiring for this position in Stockholm, Sweden.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, BigQuery, GCP, Git, Jenkins, Kafka.
- What seniority level is this role?
- Truecaller targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer role at Truecaller.
From the original posting
The role:
As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users.
What you'll do:
- Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs
- 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 a company-wide, data-driven culture
- Work in close collaboration with data scientists and data analysts to help support their work going into production
- Work on large-scale 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:
- Experience working with an orchestration tool (e.g., Airflow)
- Experience working with large data sets
- Experience building complex ETL pipelines
- Experience working with cloud providers such as GCP
- 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 a proven ability to take initiative to own and solve problems as they come up
- Experience 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
Come as you are:
Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you.
Sounds like a great opportunity?
We only accept applications in English.
Standard company text repeated across Truecaller's postings is omitted here.