利润智能大数据工程师
亚马逊零售利润智能团队正在寻找一位经验丰富的高级数据工程师加入历史贡献利润(HCP)团队。HCP是一个快速增长的团队,致力于构建自动化利润和损失预测与规划工具,支持物理消费品业务。我们使用大数据技术和原生AWS(NAWS)构建下一代数据和商业智能解决方案。
加载中...
Lead Data Engineer – Chennai (Data Platform & Big Data Focus)
Build the foundation of AI — engineer the data systems that power enterprise intelligence
Location: Chennai, India
Experience: 5+ years in Data Engineering
Problem solvers who don’t just move data but build scalable, reliable data platforms that drive intelligent business decisions.
Role Overview
As a Lead Data Engineer, you will design, build, and scale data platforms that power AI-driven products and analytics solutions. You will work closely with data scientists, product managers, and engineering teams to enable seamless data flow, storage, and processing for enterprise use cases.
What makes you right for this role
Data Platform Development – Design and build scalable data pipelines and data lake architectures for high-performance analytics.
End-to-End Engineering – Develop robust data ingestion, transformation, and processing systems from raw data to production-ready datasets.
Cloud-Native Development – Architect and deploy data solutions on AWS, Azure, or GCP with strong DevOps and automation practices.
Big Data Expertise – Work with distributed data processing frameworks like Spark, Hadoop, and Hive to handle large-scale data workloads.
Collaboration – Partner with cross-functional teams to deliver reliable and impactful data solutions.
Best Practices – Ensure data quality, governance, security, and performance through standardization and continuous improvement.
The person you’re looking for
Strong experience in data engineering with proficiency in Python, Scala, or Java.
Hands-on expertise in building scalable data pipelines and distributed systems.
Good understanding of data lake architecture, data warehousing, and relational databases (Oracle, SQL, DB2, Teradata).
Experience with Big Data technologies such as Hadoop, Spark, Hive, and HBase.
Familiarity with workflow orchestration tools like Airflow.
Experience with cloud platforms (AWS, Azure, or GCP).
Strong problem-solving mindset with the ability to take ownership and lead initiatives.
Passionate about data, innovation, and solving real-world enterprise challenges.
Chennai-based with flexibility to collaborate with global teams and stakeholders.
5年以上数据工程经验
精通Python/Scala/Java
具备大数据处理能力(Hadoop/Spark等)
熟悉云平台(AWS/Azure/GCP)
具备数据管道和分布式系统构建能力
熟悉数据湖架构、数据仓库和关系数据库(Oracle、SQL、DB2、Teradata)
熟悉工作流编排工具(如Airflow)
Crayon Data是一家专注于技术、信息和互联网行业的公司,致力于通过数据平台和大数据技术推动企业智能化发展。
注册并登录后即可查看
亚马逊零售利润智能团队正在寻找一位经验丰富的高级数据工程师加入历史贡献利润(HCP)团队。HCP是一个快速增长的团队,致力于构建自动化利润和损失预测与规划工具,支持物理消费品业务。我们使用大数据技术和原生AWS(NAWS)构建下一代数据和商业智能解决方案。
TransUnion的求职者隐私通知...
在 PointClickCare,我们的使命很简单:帮助提供者提供卓越的护理。这从我们的员工开始。作为一家由创始人领导并私有持有的领先健康科技公司,我们赋予员工推动边界、创新和塑造未来医疗保健的能力。
大数据工程师,£80,000 - £85,000 + 额外奖金 + 丰厚福利,混合工作模式 - 英格兰西南部 / 远程灵活性