Role Overview
You will play a critical role in building scalable, reliable, and high-performance data infrastructure that powers analytics and operational decision-making across the company. We are looking for an expert in Google Cloud Platform (GCP) services to design and implement robust ELT pipelines.
Responsibilities
- Design, develop, and maintain scalable ELT/ETL Pipelines using GCP, BigQuery, Snowflake, Dataflow, and Firestore.
- Optimize data pipelines for performance, scalability, and reliability.
- Transform and integrate data from multiple sources for analytics and operational systems.
- Collaborate with data engineers, analysts, and business stakeholders to deliver effective data solutions.
- Monitor, troubleshoot, and maintain ELT/ETL workflows to ensure data quality and operational efficiency.
Requirements
- 3+ Years of hands-on ELT/ETL Development experience on Cloud Platforms.
- Strong expertise in GCP, Python, SQL, and Data Warehousing Concepts.
- Experience with Snowflake, BigQuery, Firestore, Dataflow, Pub/Sub, and Apache Beam.
- Strong Analytical, Problem-Solving, and Communication Skills.
Skills
- Python
- SQL
- Google Cloud Platform
- BigQuery
- Snowflake
Benefits
- Become an AI Native Engineer - Build and secure next-generation AI platforms.
- Work on product engineering problems, not support work.
- Work Remotely from anywhere in India.
- Work with Product customers and cutting-edge tech stacks.
- Culture that values learning, openness, and engineering excellence.