Data Engineer

Hej, Truecaller is calling you from Stockholm, Sweden! Ready to pick up?

Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter.

• Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 400 million active users per month.
• Founded in 2009 with an impressive year-on-year growth with high profitability, listed on Nasdaq OMX Stockholm, Large Cap.
• Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins.
• A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, and Tel Aviv with high ambitions.

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

As a Data Engineer, you will play an important role in the Data Platform team which is responsible for building and maintaining a scalable, robust, self-service analytics platform.

What will you work on

• 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

What do we expect from you:

• 3+ years of experience in data engineering
• 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

What we offer:

• A smart, talented, and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing, and fun environment.
• A great compensation package: Competitive salary, 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.
• Great tech tools: Pick the computer and phone you most fancy within our budget ranges.
• Office life: We strongly believe in in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, and a wide range of yummy snacks and beverages. In addition, now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, Running team, movie nights in our cinema, or a Geek lunch. There is something for everyone!

Come as you are:
Truecaller is diverse, equal, and inclusive. We need a variety of backgrounds, perspectives, beliefs, and experiences to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you.