Data Engineer

Overview

Onix

Website: Visit Website

Business Type: Enterprise

Company Type: Product

Business Model: B2B

Funding Stage: Series D+

Industry: Cloud

Salary Range: ₹ 10-18 Lacs PA

Job Description

About Onix

Onix is a global cloud, data, and AI solutions company and a 16-time Google Cloud Partner of the Year, helping enterprises accelerate their data-to-AI transformation through cloud migration, analytics, and AI-driven modernization. Headquartered in Princeton, New Jersey, Onix serves 1,500+ customers including Fortune 500 organizations and delivers proprietary, automation-led platforms that enable faster, cost-efficient digital transformation.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP-native tools and services.
• Build and optimize data warehouses using Snowflake.
• Write complex and efficient SQL queries for data transformation, analysis, and reporting.
• Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions.
• Implement data governance, security, and monitoring best practices across GCP projects.
• Tune queries and optimize performance of large-scale datasets.
• Automate workflows using Cloud Composer (Airflow) or similar orchestration tools.
  
  

• 3+ years of experience in a data engineering or data platform role.
• Strong hands-on experience with Snowflake data warehousing
• Expert-level skills in SQL — able to write optimized, scalable, and complex queries.
• Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse.
• Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion.
• Experience in Python or similar scripting language for data engineering tasks.
• Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.