As a Data Engineer you are responsible for building and improving the data and ML platform, ETL pipelines, libraries and infrastructures. You will be constantly in collaboration with other data engineers and data scientists to improve the performance and reliability of the infrastructure and productinize the models. 

We in the Data Platform team aim to provide tools and libraries for other business units and establish best practices. 

What we expect from you:

• Experience in building Big Data etl pipelines
• Experience in orchestration tools like airflow
• Experience with Python and Scala 
• Experience in big data platforms, Spark and hadoop 
• Hands-on experience in Kubernetes
• Experience designing feature stores
• Experience applying different machine learning architectures to a wide variety of problems and data types working with machine learning frameworks such as TensorFlow, Spark ML
• Experience in ML-OPs 

What will you work on?

• Provide tools and libraries based on the requirements for business units to be able to reach their respective goals
• Collaborate with other engineers to develop pipelines
• Facilitate BU’s to make data-driven decisions
• Prototype and develop end to end machine learning solutions and Integrate machine learning solutions with deployed platforms
• Build new tools, develop and maintain Truecallers Data Platform

Good to know

• Good experience in GCP in general, BigQuery, kubeflow and ai-platform 
• Experience with hardware accelerated machine learning processing pipelines (GPU)
• Working with queue system and platforms like Kafka

We offer:

• International team - 30+ nationalities working together!
• Competitive salary
• Medical insurance
• Learning & sharing environment
• Flexible working hours
• Exciting company parties & team activities – Running team, Geek lunch!
• Start the day with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee, and soft drinks