Description

You will design, build, and operationalize large-scale enterprise data solutions within a hybrid big data architecture.

Responsibilities

• Design and build end-to-end data pipelines from ingestion to consumption.
• Analyze and re-platform on-premise data warehouses to GCP cloud platforms.
• Integrate data from multiple disparate sources.
• Manage relational data and large-scale key-value pairs using cloud-native services.
• Work within deadline-driven environments to deliver robust data infrastructure.

Required Skills

• At least 2 years of hands-on experience with GCP.
• Experience with HDFS, Hadoop, Spark, and Python.
• Proficiency in Scala and Hive.
• Hands-on use of Cloud Spanner for relational data management.
• Experience using Bigtable for large volume key-value storage.
• Experience using BigQuery for interactive data analysis.
• Proven experience working with hybrid big data architectures.

Preferred Skills

• Experience with 3rd party cloud services integration.

Key Skills

Education

Any Graduate