Sr Data Engineer

Overview

Senior Data Engineer responsible for building scalable cloud data pipelines, trusted data products, and AI-enabled data solutions. The role partners with business and finance stakeholders from problem definition through deployment, adoption, and ongoing improvement.

What you'll do

• Design and maintain scalable data pipelines and ELT processes with GCP and BigQuery.
• Build layered data platforms using Bronze, Silver, and Gold architecture patterns.
• Create curated data products, analytical datasets, and semantic models.
• Integrate enterprise, finance, operational, API, and other source data.
• Perform data profiling, mapping, reconciliation, cataloging, and quality assessments.
• Apply automation, generative AI, and agentic tools across the data engineering lifecycle.
• Own solutions through deployment, adoption, reliable operations, and enhancement.

What you'll need

• 5+ years of experience in data engineering, data warehousing, ETL, or ELT.
• Hands-on experience with GCP and Google BigQuery.
• Strong SQL skills.
• Practical Python experience for data engineering.
• Knowledge of data warehouse architecture, dimensional modeling, integration, and transformation.
• Experience supporting production pipelines with monitoring, testing, error handling, and optimization.
• Experience with Agile teams, source control, CI/CD, and automated testing.

Nice to have

• Experience with medallion architecture and Microsoft Power BI.
• Experience with finance or accounting data and reconciliation processes.
• Experience with additional GCP services, governance, metadata, cataloging, or lineage.
• Experience with AI tools, RAG, embeddings, vector search, agent orchestration, or LLM APIs.

Details

• Location: Bangalore, India.