Software Engineer - Data and Analytics

Reposted 12 Days Ago
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Chennai, Tamil Nadu
In-Office
Mid level
Logistics • Robotics
The Role
As a Software Engineer, you will develop data systems for customer acquisition, collaborate with marketing teams, and enhance analytics tools for campaign optimization.
Summary Generated by Built In

Rapyuta Robotics, an ETH Zurich spin-off, operates with the goal of making robots more accessible to anyone in the logistics industry. Rapyuta Robotics seeks individuals who believe that collaborative work leads to more effective and sustainable outcomes and are fearless in challenging limits—whether within themselves or in their surroundings—to make a dent in the universe.  

  

As a Software Engineer focusing on Customer Acquisition Data and related Analytics, you will be part of the marketing squad and work closely with Marketing Leadership, Product Marketing Manager and Business Analysts to design robust data systems and enable deeper insights into our customer journey. Your work will empower the team to optimize campaigns, improve targeting, and uncover new growth opportunities guided by data. 


Requirements

Key Responsibilities 

  • Build and maintain data pipelines and integrations across CRM (e.g., HubSpot, D365), marketing automation, customer data platforms, and BI tools to ensure clean, unified, and timely access to customer acquisition data. Ensure data quality, consistency, and governance across systems. 
  • Collaborate with marketing stakeholders to evaluate MarTech tools, support onboarding, and translate data needs into scalable, automated solutions using Python and Microsoft Power BI/Fabric. 
  • Enable analytics and measurement by designing data models and powering dashboards that uncover funnel performance, campaign ROI, and actionable growth insights. 
  • Support platform adoption and advanced usage by providing onboarding assistance, documentation, and occasional training to help marketing teams leverage analytics tools effectively. 

Minimum Qualifications 

  • At least 3 years of experience in Data Engineering or a related field 
  • Proficiency in Python and familiarity with ETL workflows, REST APIs, and system integration principles 
  • Hands-on experience with Business Intelligence and data platforms such as Power BI, Microsoft Fabric, or similar tools 
  • Strong understanding of data modeling, transformation, and governance in a business context 
  • Ability to work independently and cross-functionally in a fast-paced, collaborative environment 

Benefits
  • Exciting and challenging problems are addressed using wide-ranging technologies and tools. 
  • Competitive salary 
  • Great team culture, peers and workplace 

Top Skills

ETL
Microsoft Fabric
Microsoft Power Bi
Python
Rest Apis
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The Company
HQ: Koto City, Tokyo
157 Employees
Year Founded: 2014

What We Do

We are the pioneers in cloud robotics, the internet for robots & connected machines to empower people in logistics and manufacturing.

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