Description

You will lead GCP solution scoping and design technical architecture blueprints for target state environments.

Responsibilities

• Lead technical discovery to identify business requirements and map as-is to to-be scenarios.
• Design and execute data migrations and pipeline migrations to GCP.
• Establish architecture guidelines, best practices, and technical blueprints.
• Build production data pipelines from ingestion to consumption within hybrid big data architectures.

Required Skills

• 5+ years of experience building production data pipelines.
• Expertise in Python, Scala, or Java.
• Deep knowledge of GCP services including BigQuery, Cloud Storage, Bigtable, Dataflow, Dataproc, Cloud Composer, Cloud Pub/Sub, and Data Fusion.
• Hands-on experience with Airflow, WireSafe, and GCP Data Transfer tools.
• Proficiency in PySpark, Structured Streaming, and Batch processing patterns.
• Experience migrating data from legacy systems such as Hadoop, Exadata, Oracle, Teradata, or Netezza.
• Working knowledge of GCP CI/CD and SDK.
• Experience with Hadoop, Hive, HDFS, HBase, and Spark.
• Background in ETL build and design for data lakes and data warehouses.

Preferred Skills

• Basic understanding of Java.

Key Skills

Education

Any Graduate