Senior Software Developer

About the role

We are seeking a Senior Data Engineer to design, build, and evolve scalable data pipelines, data models, and data products on our analytics platform. This role focuses on building reliable, batch-first ETL/ELT systems on Databricks and Spark that transform structured, semi-structured, and unstructured data into high-quality, AI-consumable datasets — supporting Search, Recommendations, Marketing, and Supply Chain analytics.

What you'll do

• 🔹 Data Pipeline & Platform Development
• Design, build, and maintain scalable ETL/ELT pipelines that ingest and transform structured, semi-structured, and unstructured data
• Develop high-fidelity data pipelines on Databricks/Spark optimized for reliability, cost, performance, and data freshness
• Build curated datasets, embeddings-ready data, feature layers, and semantic abstractions that are AI/ML-consumable for downstream systems
• Implement ingestion, transformation, and serving layers across Data Lake / Lakehouse architectures with a focus on efficient retrieval and contextual usability

What you need

• 6–8 years in software engineering
• SQL
• Python
• AWS
• Kafka
• Docker
• Kubernetes
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• ETL
• Machine learning
• Data modelling
• Databricks
• Spark
• GCP