Data Engineer L2

Experience: 3 - 10 years in data engineering.

Location: Bangalore.

Work Mode: Bangalore - Hybrid.

Role Overview

Join CoffeeBeans Consulting as a Data Engineer L2 and immerse yourself in a transformative role where your expertise will directly contribute to the future of AI. Located in Bangalore, this position offers a unique prospect to work at the forefront of data engineering, shaping the way businesses leverage their data to drive innovation. With 4 - 7 years of experience, you will play a pivotal role in building and optimizing scalable data pipelines that empower analytics and AI/ML solutions. This is not just a job; it's a chance to elevate your career in a company that values engineering excellence and client impact.

Key Responsibilities

• Design and implement enterprise-grade Databricks Lakehouse architectures using Delta Lake and Unity Catalog.
• Build scalable batch and real-time data ingestion pipelines using Lakeflow Connect, SDP, Auto Loader, Spark, and Kafka.
• Design and implement CDC architectures using Debezium, Kafka/Kafka Connect,



and relational databases such as PostgreSQL, MySQL, SQL Server, and Oracle.
• Implement streaming and event-driven data pipelines using Kafka, Spark Structured Streaming, and related technologies.
• Design and manage schema evolution and data contracts using Karapace / Schema Registry.
• Implement centralized governance using Unity Catalog, including catalogs, schemas, RBAC, row/column-level security, lineage, and data access policies.
• Develop metadata-driven ingestion frameworks, data quality, reconciliation, profiling, and observability solutions.
• Design Bronze, Silver, and Gold data layers and appropriate data modeling strategies for analytical workloads.
• Establish engineering best practices covering CI/CD, testing, deployment, monitoring, logging, and operational support.
• Use Databricks Asset Bundles (DAB) and CI/CD tools such as Jenkins/GitHub Actions for automated deployment.
• Wo

📌 Coffeebeans.io - Senior Data Engineer - Python (India)
🏢 CoffeeBeans
📍 India