¥7,000,000 - ¥10,000,000 per year, 年収700 ~ 1,000万円
社名社名非公開職種システム開発(組み込み・ファームウェア・制御系)業務内容Excellent work-life balance!English only ok! Global Environment!Almost full remote available!求められる経験Experience:- Minimum 6 years of working experience as developer or data engineer- Strong hands-on experience with Azure Databricks and migrating legacy data platforms/Azure Synapse Analytics workloads to Azure Databricks, alongside Azure Data Lake Storage (ADLS) and Azure Data FactorySkills:- Strong programming skills in
社名社名非公開職種システム開発(組み込み・ファームウェア・制御系)業務内容Excellent work-life balance!English only ok! Global Environment!Almost full remote available!求められる経験Experience:- Minimum 6 years of working experience as developer or data engineer- Strong hands-on experience with Azure Databricks and migrating legacy data platforms/Azure Synapse Analytics workloads to Azure Databricks, alongside Azure Data Lake Storage (ADLS) and Azure Data FactorySkills:- Strong programming skills in
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容Excellent work-life balance!English only ok! Global Environment!WFH up to 4 days/week!求められる経験•Minimum 4-6 years of working experience as developer or data engineer•Strong hands-on experience with Azure Databricks and migrating legacy data platforms/Azure Synapse Analytics workloads to Azure Databricks, alongside Azure Data Lake Storage (ADLS) and Azure Data Factory•Strong programming skills in Scala/Python/Java, Apac
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容Excellent work-life balance!English only ok! Global Environment!WFH up to 4 days/week!求められる経験•Minimum 4-6 years of working experience as developer or data engineer•Strong hands-on experience with Azure Databricks and migrating legacy data platforms/Azure Synapse Analytics workloads to Azure Databricks, alongside Azure Data Lake Storage (ADLS) and Azure Data Factory•Strong programming skills in Scala/Python/Java, Apac
社名社名非公開職種データサイエンティスト業務内容International environmentFree Meals in the Office求められる経験Mandatory Skills:- Strong understanding in data engineering, including designing and building data pipelines and data integration solutions.- Strong understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques.- Strong understanding of bigdata/large-scale processing frameworks such as Spark, Kafka, Hadoop- Strong programming experience using
社名社名非公開職種データサイエンティスト業務内容International environmentFree Meals in the Office求められる経験Mandatory Skills:- Strong understanding in data engineering, including designing and building data pipelines and data integration solutions.- Strong understanding of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques.- Strong understanding of bigdata/large-scale processing frameworks such as Spark, Kafka, Hadoop- Strong programming experience using
¥8,000,000 - ¥11,500,000 per year, 年収800 ~ 1,150万円
社名社名非公開職種システム開発(Web・オープン・モバイル系)業務内容Full Remote position!求められる経験■ Business-level Japanese language proficiency.■ Proven experience with Python for data processing or backend development.■ Demonstrated experience with data pipelines, ETL, or batch processing.■ Strong proficiency in SQL.■ Ability to independently troubleshoot and resolve production issues.■ Experience with Azure services (e.g., Data Factory) is a plus.■ Familiarity with cloud environments (AW
社名社名非公開職種システム開発(Web・オープン・モバイル系)業務内容Full Remote position!求められる経験■ Business-level Japanese language proficiency.■ Proven experience with Python for data processing or backend development.■ Demonstrated experience with data pipelines, ETL, or batch processing.■ Strong proficiency in SQL.■ Ability to independently troubleshoot and resolve production issues.■ Experience with Azure services (e.g., Data Factory) is a plus.■ Familiarity with cloud environments (AW
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- 3+ years of software development experience using Python.- Proven experience with public cloud platforms (e.g., Azure, AWS, GCP) and Databricks.- Experience writing production-level, well-documented code.- Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).- Experience with CI/CD pipelines.- Exper
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- 3+ years of software development experience using Python.- Proven experience with public cloud platforms (e.g., Azure, AWS, GCP) and Databricks.- Experience writing production-level, well-documented code.- Familiarity with common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).- Experience with CI/CD pipelines.- Exper
¥7,000,000 - ¥10,000,000 per year, 年収700 ~ 1,000万円
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容Excellent work-life balance!English only ok! Global Environment!Hybrid working style available!求められる経験Requirements・Experience with Scala, Spark, or Java, Python (and other back-end languages) but willing to learn Scala.・Strong experience with relational databases database (mainly SQL).・More than 4 years of application development experience.・Working experience with Microsoft Azure or other public cloud architecture.・S
社名社名非公開職種アクセス解析、統計解析、データ分析、データアナリスト業務内容Excellent work-life balance!English only ok! Global Environment!Hybrid working style available!求められる経験Requirements・Experience with Scala, Spark, or Java, Python (and other back-end languages) but willing to learn Scala.・Strong experience with relational databases database (mainly SQL).・More than 4 years of application development experience.・Working experience with Microsoft Azure or other public cloud architecture.・S
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- Bachelor’s degree or higher in Computer Science, Information Systems, or a related field- Experience developing and training AI/ML models using Python- Familiarity with Jupyter Notebook and exploratory data analysis (EDA)- Knowledge of data mining techniques and machine learning algorithms- Solid understanding of SQL and data modeling concepts- Basic command line skills in L
社名社名非公開職種データサイエンティスト業務内容Hybrid WorkInternational EnvironmentFree Cafeteria求められる経験- Bachelor’s degree or higher in Computer Science, Information Systems, or a related field- Experience developing and training AI/ML models using Python- Familiarity with Jupyter Notebook and exploratory data analysis (EDA)- Knowledge of data mining techniques and machine learning algorithms- Solid understanding of SQL and data modeling concepts- Basic command line skills in L
社名社名非公開職種通信インフラ設計・構築(キャリア・ISP系)業務内容Established global insurance firm from the US!Hybrid! WFH up to 4 days a week.International culture!求められる経験Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 3+ years of hands-on experience with Microsoft Azure in a cloud engineering or platform role Practical experience supporting Azure Databricks in production or enterprise environments Strong unde
社名社名非公開職種通信インフラ設計・構築(キャリア・ISP系)業務内容Established global insurance firm from the US!Hybrid! WFH up to 4 days a week.International culture!求められる経験Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 3+ years of hands-on experience with Microsoft Azure in a cloud engineering or platform role Practical experience supporting Azure Databricks in production or enterprise environments Strong unde
社名社名非公開職種通信インフラ設計・構築(キャリア・ISP系)業務内容Established global insurance firm from the US!Hybrid! WFH up to 4 days a week.International culture!求められる経験Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 3+ years of hands-on experience with Microsoft Azure in a cloud engineering or platform role Practical experience supporting Azure Databricks in production or enterprise environments Strong unde
社名社名非公開職種通信インフラ設計・構築(キャリア・ISP系)業務内容Established global insurance firm from the US!Hybrid! WFH up to 4 days a week.International culture!求められる経験Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 3+ years of hands-on experience with Microsoft Azure in a cloud engineering or platform role Practical experience supporting Azure Databricks in production or enterprise environments Strong unde
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