Description

Design, build, and maintain scalable data pipelines and ETL processes for structured and unstructured sources.

This role is on-site.

Responsibilities

• Develop data ingestion solutions and optimize data models for warehousing.
• Implement data processing workflows using GCP services like BigQuery, Dataflow, and Dataproc.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Establish data quality checks, validation processes, and monitoring frameworks.
• Collaborate with analysts and engineers to support analytics and reporting requirements.

Required Skills

• 3-5 years of experience in Data Engineering or Data Warehousing.
• Strong proficiency in SQL and NoSQL databases.
• Hands-on experience building ETL/ELT pipelines.
• Experience with GCP services including BigQuery, Dataflow, and Dataproc.
• Strong programming skills in Python or Java.
• Experience with Cloud Storage and GCP data ingestion patterns.

Preferred Skills

• Knowledge of Airflow DAG development and workflow orchestration.
• Experience with Pub/Sub, streaming data pipelines, and Vertex AI.

Key Skills

Education

Any Graduate