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Flexiple logo

Data Engineer

Flexiple
Posted 5 days ago
🇮🇳India🏠Remote📁Data & Analytics
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Data Engineer

A high-growth, VC-backed SaaS company hiring its founding India team

Location: Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India)

About the Company

A high-growth, VC-backed SaaS company is hiring its founding India team and has partnered with Flexiple to bring on a data engineer to build its data infrastructure. You will make sure the right data reaches the right teams, reliably and on time. Flexiple is a managed marketplace that helps global companies build high-performing teams and GCCs in India.

Role Overview

As a Data Engineer, you will design, build, and maintain the pipelines and warehouses that turn raw data into a resource the business can trust.

Key Responsibilities

Pipeline Development

  • Design and build ETL/ELT pipelines that move data from source systems to the warehouse
  • Model data for analytics and reporting use cases
  • Optimise pipeline performance and manage compute and storage costs

Data Quality & Governance

  • Build validation and monitoring so pipeline failures surface immediately
  • Document data lineage, schemas, and definitions for downstream users
  • Partner with analytics and product teams on their data requirements

Ideal Candidate Profile

  • 2 to 6 years building data pipelines or warehouse infrastructure
  • Strong SQL skills plus experience with Python or Scala for pipeline development
  • Experience with a modern data warehouse (Snowflake, BigQuery, or Redshift)
  • Clear written and spoken English and a reliable remote-work setup

Preferred Qualifications

  • Experience with orchestration tools (Airflow, Dagster, or Prefect)
  • Exposure to streaming systems (Kafka, Kinesis) and real-time pipelines
  • A degree in computer science, statistics, or a related field

What We Offer

  • A data engineer seat at a VC-backed SaaS company's founding India team
  • Remote-friendly, pan-India hiring with long-term placement
  • Ownership of the data infrastructure every downstream team depends on
  • One application considered for this and future matched roles

Hiring Process

HR Screening → Technical Assessment → Technical Round 1 → Technical Round 2 → Culture Fit

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