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. You will make sure the right data reaches the right teams, reliably and on time. This role is with a high-growth, VC-backed SaaS company hiring its founding India team, which has partnered with Flexiple to bring on a data engineer to build its data infrastructure. Flexiple is a managed marketplace that helps global companies build high-performing teams and GCCs in India.
Responsibilities
- 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
- 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
Requirements
- 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
Nice to have
- 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
Benefits
- 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
Additional details
- Role: Data Engineer
- Location: Bengaluru, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad — or Remote (India)
- Hiring Partner: Flexiple
- Hiring Process: HR Screening → Technical Assessment → Technical Round 1 → Technical Round 2 → Culture Fit
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