Business Technology Data Engineer Job in Samsara Inc

Position: Business Technology Data Engineer

Location: Bengaluru, India (Hybrid 3 days onsite)

Company: Samsara Technologies India Pvt. Ltd.

About Samsara

Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure.

Role Overview

Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics.

This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST).

Key Responsibilities

• Data Engineering & Platform Development
  • Design and maintain ETL/ELT pipelines that integrate and transform data across business systems.
  • Build scalable data infrastructure to support advanced analytics and real-time reporting needs.
  • Write Python and SQL scripts for data ingestion, transformation, and validation.
• Data Integration & Enablement
  • Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems.
  • Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery.
  • Ensure interoperability between applications and data layers.
• Performance & Quality
  • Monitor and optimize pipeline performance, implement observability and alerting.
  • Improve data quality, lineage, and governance across systems.
  • Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products.

Minimum Qualifications

• Bachelor s degree in Computer Science, Data Engineering, or related field.
• 5+ years of professional experience in data engineering.
• 3+ years experience building and maintaining end-to-end pipelines in a modern data stack.
• Strong in SQL and Python.
• Hands-on experience with:
  • ETL tools: Fivetran, dbt
  • Cloud: AWS (preferred), GCP, or Azure
  • Databases: MySQL, PostgreSQL, Oracle, or similar
  • Data Warehouses: Snowflake, Redshift, BigQuery, Databricks

Preferred Qualifications

• Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.).
• Experience with monitoring tools (DataDog, CloudWatch, Splunk).
• Comfortable engaging stakeholders to translate business needs into data solutions.
• Proficiency in Docker, Kubernetes, or AWS Fargate is a plus.