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MLOps Engineer (Machine Learning Platform & Cloud Infrastructure)
Build and manage cloud-based ML infrastructure, CI/CD pipelines, and containerized AI apps using AWS/Azure/GCP, Docker, Kubernetes, and Terraform on-site in Tokyo.
Senior Data Engineer
Senior Data Engineer to design, build, and optimize enterprise scale data platforms using Databricks, Python, and PySpark. This role focuses on developing high-performance batch and real-time data pipelines, implementing modern data engineering frameworks, and delivering reliable, governed data solutions.
Руководитель команды аналитики
Мы — команда аналитики ГигаЧат. Отвечаем за то, чтобы продуктовые и бизнес-решения принимались на данных: метрики, эксперименты, аналитика пользовательского поведения, качество данных и инструменты, которые помогают…
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.
Engineering Manager - Data
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…
Engineering Manager - Recommendations
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…
Senior Data Engineer
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.
Инженер данных
Builds and optimizes data pipelines (batch and streaming) for a pet nutrition company, using Airflow, Spark, Hadoop, and SQL.
Data Engineer
Designs and maintains multi-cloud data pipelines between AWS and GCP, builds large-scale data processing systems, and ensures data quality and security. Core technologies include Python, PySpark, SQL, Apache Airflow, dbt, Redshift, BigQuery, and S3.
Senior Data Engineer (f/m/d)_metrify
Lead a team to design, build, and scale data pipelines and analytics models for Enpal’s smart energy platform using SQL, dbt, Python, and cloud tools.
Data Engineer (m/w/d)
Build and maintain an AWS-based data platform, develop ETL/ELT pipelines, and integrate AI tools to support analytics and business intelligence for an energy company.
Backend Developer (Data Platform)
Backend Developer for a Media Data Platform, developing APIs, data pipelines, and content management systems using technologies like Python/Java/PHP, RDBMS, AWS, and AI coding tools. Works on Media Content Hub and Data Hub development for streaming platforms.
AWs Data Engineer
A Senior Data Engineer designs and builds scalable AWS-based data platforms, creating batch and streaming data pipelines, and collaborating with multidisciplinary teams to drive data quality and business impact.
Data Engineer
Build and scale data pipelines and self-serve tools in Databricks and cloud platforms to deliver high-quality data for marketing and analytics teams.
SL Transformation-Senior Data Engineer
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.
Data Engineer real-time
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
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.
Data Engineer -- Regulatory Reporting & Portfolio Intelligence
Build data pipelines and connectors for regulatory compliance and reporting at a global payments firm. Uses SQL, Python, cloud data warehouses, and APIs to support risk teams.