GCP Engineer - Data Ecosystem Implementation and Management

Role: GCP Engineer

Location: Remote + Travel

Duration: 6+ Months contract

(Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve)

Description :-

• Implement and manage large-scale data ecosystems, including governance frameworks and integration of structured and unstructured data, to generate actionable insights using cloud-based platforms.

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• Apply automation, cognitive, and data science techniques to enhance data management, predict outcomes, and recommend strategic actions. Drive operational efficiency by maintaining robust data ecosystems, leveraging analytics expertise, and delivering continuous insights through As-a-Service models.
• Candidates should have 5+ years of experience in technology consulting or industry roles, with proven ability to contribute to end-to-end architecture and solutions using Google Cloud Platform (GCP).
• At least one full lifecycle implementation using GCP tools is required, along with 2+ years of experience in SQL and Python. Experience leading distributed teams across complex engagements is essential. A bachelor’s degree or equivalent experience is required, along with flexibility to travel up to 50%.
• Preferred qualifications include experience with Snowflake, Databricks, GCP Dataflow, Spark, Java, and tools such as BigQuery, Pub/Sub, and Kubernetes. GCP certifications, exposure to Azure/AWS, strong communication, problem-solving skills, and advanced degrees are advantageous.