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Our 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. As 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.
Job Responsibility:
Lead the development of cutting-edge data pipelines and build the future of electric vehicles in a dynamic and collaborative environment
Design, build, and manage the data infrastructure that powers our company's data-driven decisions
Leverage cloud technologies (primarily AWS) to ensure reliable data flow
Work closely with data analysts and product teams
Contribute to insightful data exploration and reporting
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
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)
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