Senior Data Engineer

job Booster; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

job Booster is seeking a Senior Data Engineer for Hyderabad, India, to design and implement scalable data pipelines and data models. The ideal candidate has 5+ years of hands-on experience with Python, SQL, dbt, ETL, and modern cloud platforms, including GCP and Databricks, with exposure to AI workflows, ML and knowledge graphs.

The role emphasizes working across multi-cloud environments, data quality initiatives, and building robust data infrastructure to support analytics and AI-driven

Qualifications

• 5+ years of experience as a data engineer with Python and SQL.
• Proficient in dbt, ETL, data modelling and scalable data pipelines.
• Hands-on with GCP and Databricks across multi-cloud environments.
• Familiar with data quality, AI workflows, ML and knowledge graphs.

Skills

Python

SQL

dbt

ETL

Data pipelines

AI workflows

ML

Data modelling

Knowledge graphs

Tools

Databricks

GCP

Multi-cloud

Job description

Senior Data Engineer with 5+ years of experience in Python, SQL, dbt, and scalable data pipelines. Hands-on with GCP, Databricks, multi-cloud platforms, data modelling, ETL, data quality, AI-agentic workflows, ML, and knowledge graphs.

Required Candidate profile

Senior Data Engineer with 5+ years in Python, SQL, dbt, ETL, GCP/Databricks, data modelling and pipelines, with exposure to AI workflows, ML and multi-cloud.