Job opening - Data Engineer (Senior Backend Engineer - Analytics) in 東京23区 | Randstad

summary

東京23区, 東京都
¥7,000,000 - ¥13,000,000 per year, 年収700 ～ 1,300万円
permanent

job category
information technology

job details

社名
社名非公開

職種
データサイエンティスト

業務内容 ...

Lead the development of cutting-edge data pipelines and build the future of electric vehicles in a dynamic and collaborative environment.■About the companyOur client is a rapidly growing technology company revolutionizing the automotive industry with innovative solutions. They offer a collaborative culture and a commitment to cutting-edge technology.■Role & ResponsibilitiesAs a Senior Backend Engineer (Analytics), you will design, build, and manage the data infrastructure that powers our company's data-driven decisions. You'll leverage cloud technologies (primarily AWS) to ensure reliable data flow, work closely with data analysts and product teams, and contribute to insightful data exploration and reporting. You will be a key player in shaping our data strategy and ensuring our data is both accessible and actionable.■Main tasks include・Design and implement scalable data pipelines using Kafka, AWS Kinesis Firehose, and Kubernetes.・Manage and optimize data storage solutions on AWS S3.・Develop ETL/ELT processes for data transformation.・Monitor and optimize data infrastructure performance and reliability.Implement data quality checks and governance best practices.・Collaborate with stakeholders to define data requirements and technical solutions.・Develop reports, visualizations, and dashboards to support business needs.・Conduct ad-hoc data analysis to answer business questions.If you are interested in this exciting opportunity, apply now.We look forward to hearing from you.#LI-Hybrid

求められる経験
■Requirements
・3+ years of experience in data engineering or a similar role.
・Proven experience with data pipelines and infrastructure on AWS (S3, Kinesis Firehose).
・Hands-on experience with Kafka.
・Proficiency in SQL and Python (or similar).
・Experience with data governance and quality control.
・Experience creating reports and visualizations using data visualization tools.
・Understanding of data modeling and database design (relational and NoSQL).
・Excellent collaboration and communication skills.
・Experience with agile methodologies.
・Ability to work effectively in English.

保険
健康保険　厚生年金保険　雇用保険,健康保険,厚生年金保険

待遇・福利厚生
休憩室,更衣室
Getting better and better

休日休暇
日曜日,土曜日,祝日,土曜日　日曜日　祝日
Easy to take days off

給与
年収700 ～ 1,300万円

賞与
-
雇用期間
期間の定めなし

show more

社名
社名非公開

職種
データサイエンティスト

業務内容
Lead the development of cutting-edge data pipelines and build the future of electric vehicles in a dynamic and collaborative environment.■About the companyOur client is a rapidly growing technology company revolutionizing the automotive industry with innovative solutions. They offer a collaborative culture and a commitment to cutting-edge technology.■Role & ResponsibilitiesAs a Senior Backend Engineer (Analytics), you will design, build, and manage the data infrastructure that powers our company's data-driven decisions. You'll leverage cloud technologies (primarily AWS) to ensure reliable data flow, work closely with data analysts and product teams, and contribute to insightful data exploration and reporting. You will be a key player in shaping our data strategy and ensuring our data is both accessible and actionable.■Main tasks include・Design and implement scalable data pipelines using Kafka, AWS Kinesis Firehose, and Kubernetes.・Manage and optimize data storage solutions on AWS S3.・Develop ETL/ELT processes for data transformation.・Monitor and optimize data infrastructure performance and reliability.Implement data quality checks and governance best practices.・Collaborate with stakeholders to define data requirements and technical solutions.・Develop reports, visualizations, and dashboards to support business needs.・Conduct ad-hoc data analysis to answer business questions.If you are interested in this exciting opportunity, apply now.We look forward to hearing from you.#LI-Hybrid ...

求められる経験
■Requirements
・3+ years of experience in data engineering or a similar role.
・Proven experience with data pipelines and infrastructure on AWS (S3, Kinesis Firehose).
・Hands-on experience with Kafka.
・Proficiency in SQL and Python (or similar).
・Experience with data governance and quality control.
・Experience creating reports and visualizations using data visualization tools.
・Understanding of data modeling and database design (relational and NoSQL).
・Excellent collaboration and communication skills.
・Experience with agile methodologies.
・Ability to work effectively in English.

保険
健康保険　厚生年金保険　雇用保険,健康保険,厚生年金保険

待遇・福利厚生
休憩室,更衣室
Getting better and better

休日休暇
日曜日,土曜日,祝日,土曜日　日曜日　祝日
Easy to take days off

給与
年収700 ～ 1,300万円

賞与
-
雇用期間
期間の定めなし

show more

experience
■Requirements ・3+ years of experience in data engineering or a similar role. ・Proven experience with

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