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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…
As a Senior Data Engineer at Truecaller, design and build scalable data pipelines and infrastructure for Smart SMS features (e.g., categorization, fraud detection) using Spark, Scala, Python, and GCP, collaborating with Data Scientists and Product teams to deliver reliable datasets for millions of daily users.
As a Senior Data Engineer on the Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems, including feature pipelines, streaming event ingestion, training datasets, and real-time feature serving, using Python, Spark, and cloud infrastructure.
Builds and optimizes data pipelines (batch and streaming) for a pet nutrition company, using Airflow, Spark, Hadoop, and SQL.
Зарплата: до 300000 RUR (на руки) Ищем Middle+/Senior Data Scientist. Команда специализируется на разработке моделей машинного обучения для сегмента физических лиц и предоставлении модельных сервисов для…
до 520к gross (до ~452к net) Внедрять модели машинного обучения Сопровождать полный цикл сборки модели Обрабатывать и анализировать данные Поддерживать коммуникацию с разработчиками моделей Прорабатывать архитектуру…
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures to support analytics and business transformation, using SQL, cloud platforms, and distributed processing tools like Spark.
Design and build fault-tolerant real-time data pipelines that feed analytics, ML, and product teams, using Kafka, Flink, ClickHouse, and Python.
Python/ETL Developer building and maintaining scalable batch and real-time data pipelines for enterprise financial services applications, using Python, PySpark, Apache Airflow, DBT, and SQL.
Разрабатывает AI-агенты и ML-решения для банковских продуктов юридических лиц, интегрирует модели и данные, обеспечивает их промышленную эксплуатацию с использованием Python, SQL и больших данных.
Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring,…
Manage reliability and performance of a Hadoop cluster for operational data storage import substitution using Hadoop, Postgres, Spark, Airflow, and Trino.
Build and maintain scalable data pipelines and ETL workflows using Python, SQL, and cloud platforms to move and transform large datasets for analytics and reporting.
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.
Build and maintain compliance-focused data models and dashboards to monitor risks and support regulatory reporting for a global fintech company.
Designs and scales data infrastructure for an AI-powered property management platform, focusing on real-time pipelines, vector databases, and ML workflows while defining the data team’s culture and standards.
Чем предстоит заниматься: Выполнение задач полного жизненного цикла (от сбора требований до выкатки на установку в прод) Разработка/доработка витрин/решений и их автоматизация через оркестраторы Изменение алгоритма…
Build automated monitoring systems to track regulatory compliance (e.g., EU AI Act) and internal governance policies using SQL, Airflow, and Snowflake.
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