Description

You will design and build data engineering solutions using Google Cloud Platform (GCP) services.

Responsibilities

• Design and develop data modules that convert raw data into usable formats for reporting.
• Extract, load, transform, clean, and validate data using cloud ETL/ELT tools.
• Monitor and improve the quality of components throughout the development lifecycle.
• Identify application bottlenecks and opportunities to optimize performance.
• Troubleshoot production issues and coordinate code deployment with the support team.

Required Skills

• 4+ years of hands-on experience with GCP Suite, including Tera Data, BigQuery, PubSub, Data Fusion, Google Cloud Storage, DataProc, Composer, and Looker.
• Solid understanding of Google Cloud architecture and GCP Compute, Storage, Data, Network, and Security.
• 5+ years of working experience with tools such as Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, and MapReduce.
• Strong experience in SQL and Data warehousing.
• Experience with Cloud Data Flow, Cloud Pub Sub, Cloud BigTable, ML APIs, and AutoML.
• Familiarity with Cloud ML Serverless Architecture and Security, including Cloud Functions and Cloud IAM.
• Proficiency in GCP services, including Bigquery.
• Experience with DevOps and Big Data practices on Google Cloud.

Key Skills

Education

Any Graduate