Bangalore, Karnataka, India
Information Technology
Full-Time
Spendflo
Overview
Spendflo is a fast-growing Series A startup helping companies streamline how they procure, manage, and optimize their software and services.
Backed by top-tier investors, were building the most intelligent, automated platform for procurement operations.
We are now looking for a Senior Data Engineer to design, build, and scale our data infrastructure.
Youll be the backbone of all data movement at Spendflo from ingestion to transformation to Youll Do :
Backed by top-tier investors, were building the most intelligent, automated platform for procurement operations.
We are now looking for a Senior Data Engineer to design, build, and scale our data infrastructure.
Youll be the backbone of all data movement at Spendflo from ingestion to transformation to Youll Do :
- Design, implement, and own the end-to-end data architecture at Spendflo.
- Build and maintain robust, scalable ETL/ELT pipelines across multiple sources and systems.
- Develop and optimize data models for analytics, reporting, and product needs.
- Own the reporting layer and work with PMs, analysts, and leadership to deliver actionable data.
- Ensure data quality, consistency, and lineage through validation and monitoring.
- Collaborate with engineering, product, and data science teams to build seamless data flows.
- Optimize data storage and query performance for scale and speed.
- Own documentation for pipelines, models, and data flows.
- Stay current with the latest data tools and bring in the right technologies.
- Mentor junior data engineers and help establish data best Qualifications :
- 5+ years of experience as a data engineer, preferably in a product/startup environment .
- Strong expertise in building ETL/ELT pipelines using modern frameworks (e.g., Dagster, dbt, Airflow).
- Deep knowledge of data modeling (star/snowflake schemas, denormalization, dimensional modeling).
- Hands-on with SQL (advanced queries, performance tuning, window functions, etc.).
- Experience with cloud data warehouses like Redshift, BigQuery, Snowflake, or similar.
- Comfortable working with cloud platforms (AWS/GCP/Azure) and tools like S3, Lambda, etc.
- Exposure to BI tools like Looker, Power BI, Tableau, or equivalent.
- Strong debugging and performance tuning skills.
- Excellent communication and documentation Qualifications :
- Built or managed large-scale, cloud-native data pipelines.
- Experience with real-time or stream processing (Kafka, Kinesis, etc.).
- Understanding of data governance, privacy, and security best practices.
- Exposure to machine learning pipelines or collaboration with data science teams.
- Startup experience able to handle ambiguity, fast pace, and end-to-end ownership.
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