Data Engineer

Data Engineer

A global bank standing up its India technology and operations centre

Location: Remote (India)

About the Company

A global bank is standing up its India technology and operations centre and has partnered with Flexiple to hire 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 global bank's India technology centre
• 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