GCP Big Data Engineer – Python, Spark, Dataflow, BigQuery & ETL/ELT
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable, resilient data pipelines on GCP supporting enterprise analytics and reporting.
Collaborate with business stakeholders, data scientists, and analytics teams to implement optimized data workflows.
Implement and enforce data quality, security, and governance standards across data platforms.
Minimum Requirements
5+ years of practical experience in data engineering with significant focus on GCP and Big Data ecosystems.
Proficiency in Python, Apache Spark, and GCP services including BigQuery, Dataflow, Cloud Storage, and Cloud Pub/Sub.
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
Work Experience Required: 5+ years in data engineering focused on GCP and Big Data.
Ideal Candidate Profile
Experienced in designing and operating enterprise-scale end-to-end data pipelines with distributed processing frameworks.
Skilled in implementing data security, governance, and compliance standards aligned with organizational goals.
Able to collaborate effectively across technical and business teams to translate requirements into data solutions.