Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
Designs large-scale, production-grade data architectures for enterprise customers. The work covers analytics technologies, data warehousing, data lakes, ETL/ELT pipelines, streaming, search, and data governance, with attention to performance, security, cost optimization, and operational excellence.
Requires hands-on experience with AWS data warehouse and reporting technologies including Redshift, Athena, and S3. Requires experience with Redshift, Snowflake, BigQuery, and Teradata; streaming technologies including Kafka, Kinesis, and Flink; and Elasticsearch/OpenSearch. Requires cross-functional work with stakeholders, users, engineers, and leaders to generate buy-in. Japanese fluency at business level or above (N1+) and verbal and written business English skills are required.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Build and deploy AI and software solutions using LLM-based systems and cloud AI platforms, validate quality and performance, and deliver projects end to end. Travel up to 25%.
Oversee the overall security of Money Forward Kessai, collaborating with developers and information system staff to maintain and enhance security.
Leads security operations, architecture, and implementation across Keyence’s global IT infrastructure, covering monitoring, incident response, threat analysis, cloud security, and security tools.
Develop and evaluate machine-learning algorithms, use behavioral and customer data to propose value, build prototype applications, collaborate with business teams, and publish research.