Description

Build and manage data architecture and pipelines for large-scale processing and analytics.

Responsibilities

• Design and maintain data pipelines for ingestion, ETL, and storage.
• Develop data models to support reporting and analytics.
• Monitor, troubleshoot, and optimize data system performance and reliability.
• Manage BigQuery usage and implement cost-effective resource scaling.
• Collaborate with cross-functional teams to translate data requirements into technical solutions.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong proficiency in SQL and database technologies.
• Hands-on experience with Google Cloud Platform (GCP) tools: BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Bigtable.
• Practical experience with big data technologies: Hadoop, Spark, Hive, and Kafka.
• Working knowledge of data warehousing and ETL tools like Apache Airflow and Amazon Redshift.
• Experience implementing CI/CD pipelines.
• Familiarity with data modeling and data warehousing concepts.
• Degree in any graduate field.

Preferred Skills

• Exposure to data visualization tools such as Looker, PowerBI, or Tableau.

Key Skills

Education

Any Graduate