Senior Data Engineer - SaaS (Data architecture/ Startup)

Actively Reviewing the Applications

PeopleGene

India, Delhi Full-Time On-site

Posted 3 weeks ago • Apply by June 11, 2026

Job Description

Responsibilities:

Own end-to-end data architecture across ingestion, transformation, storage, and analytics
Design and scale batch and streaming pipelines using Python, Airflow, Spark / PySpark, Kafka, dbt, and Debezium
Architect and optimize data models across MongoDB, ClickHouse, and OpenSearch for high-volume ingestion and low-latency analytics
Establish strong data quality, validation, and lineage practices using Great Expectations or similar frameworks
Build clean, well-documented, analytics-ready datasets that power dashboards and AI workflows
Mentor and guide a team of data engineers, setting standards and driving execution
Partner closely with product, AI, and platform teams to enable new data use cases and faster experimentation
Continuously improve performance, reliability, and cost efficiency on AWS

Good to have:

4 years of experience in data engineering/ architecture or data platform roles
At least 2 years of experience leading or mentoring engineers
Strong hands-on expertise in Python, Apache Airflow, Spark / PySpark, and MongoDB
Solid understanding of ETL / ELT patterns, streaming systems, CDC, and scalable data modeling
Experience designing systems that balance flexibility, performance, and data quality
Working knowledge of AWS and production performance tuning
Exposure to supply chain, procurement, pricing, or marketplace data
Experience with data contracts, observability, or data SLAs
Familiarity with privacy and compliance concepts such as GDPR or India DPDP