Senior Data Engineer

Location: Bengaluru

Senior Data Engineer

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Location:

Mumbai, Pune, Bengaluru  (On-site work)

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Experience:

4-5 years

• Notice Period:  Immediate to 15 days

• Budget:  INR 1.10 Lac per month (Open for full time or contract both)

Role Overview :
We are hiring a Senior Data Engineer to design and build a cloud-native data Lakehouse platform on GCP.
This is a hands-on individual contributor role, focused on implementation and delivery.
The engineer will work on a greenfield project, building scalable data pipelines processing 4 to 5 million records per day using  PySpark, Big Query, Databricks, DBT, Airflow, Delta Lake and Apache Iceberg .

Key Requirements:

• Build end-to-end batch data pipelines from Excel files, third-party APIs, and SQL databases.

• Develop scalable transformations using PySpark and Big Query, Databricks

• Implement analytics-ready data models using DBT.

• Orchestrate workflows using Apache Airflow.

• Work with Delta Lake / Apache Iceberg tables for scalable lakehouse storage.

• Optimize data pipelines for performance, reliability, and cost.

• Write clean, testable, and well-documented production code.

Required Experience:

• 5+ years of data engineering experience.

• Minimum 3+ years in Big Data (Spark / distributed processing)

• Strong hands-on experience with:
oGCP & Big Query & Databricks
oPy Spark
oDBT
oApache Airflow

• Strong SQL and Python skills

• Experience working on early-stage / greenfield data platforms