Senior Data Engineer, Global Converse, ITC

Overview

Hands-on Senior Data Engineer in Global Converse at the India Technology Center, building trusted data pipelines, curated datasets and analytics for Supply Chain & Logistics and other enterprise partners.

What you'll do

• Partner with Supply Chain & Logistics stakeholders to understand operational questions, define measures, and translate requirements into scalable data solutions.
• Build, test, deploy, and maintain data pipelines, transformations, and curated analytical datasets using SQL, Snowflake, Databricks, Python, Spark, or related technologies.
• Design reusable dimensional data models and semantic layers that improve consistency, quality, discoverability, and trust across reporting and analytics.
• Develop and evolve Tableau or Sigma dashboards, KPI frameworks, and self-service analytics products that enable users to monitor performance, investigate drivers, and take action.
• Analyze and enable insights across demand, inventory, order fulfillment, transportation, delivery performance, and related operational measures.
• Collaborate with Product Managers, Engineers, Platform teams, and business partners through design reviews, testing, release, adoption, and production support.
• Improve engineering quality through automated testing, code reviews, documentation, performance tuning, observability, and reliable DevOps practices.

What you'll need

• 6-8 years of relevant experience in data engineering, analytics engineering, business intelligence, data analytics, or related roles.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or an equivalent combination of education, experience, and training.
• Strong SQL skills.
• Hands-on data engineering experience with Snowflake or Databricks.
• Experience using Tableau or Sigma to deliver dashboards, governed KPIs, semantic models, and self-service analytics.

Nice to have

• Experience with both Snowflake and Databricks.
• Experience delivering data or analytics solutions for Supply Chain, Logistics, inventory, order management, fulfillment, transportation, or related retail operations.

Details

• Typically reports to a Senior Manager, Data Engineering.
• Location: Karnataka, India.