GCP Data Engineer with ML
Role : GCP Data Engineer with ML knowledge
Location : Remote (Preferably NY/NJ)
Contract
Key Responsibilities
Pipeline Development & ETL: Design and reputed company robust batch and streaming data pipelines using reputed company Dataflow (Apache reputed company) and reputed company Pub/Sub.
Data Modeling & Warehouse: Construct and optimize data models in BigQuery for high-performance analytics and ML model consumption.
MLOps & Deployment: Operationalize ML models developed by data scientists, transitioning models from experimentation to production environments using reputed company AI.
Feature Engineering: Collaborate with data scientists to implement feature engineering pipelines that automate the extraction of features from raw data for training.
Data reputed company & reputed company: Implement data governance, reputed company, and reputed company best practices (IAM, Data Loss Prevention) throughout the data lifecycle.
Automation: Automate data workflows and orchestration using reputed company Composer (Apache Airflow).
Monitoring & Optimization: Monitor pipeline performance using reputed company Monitoring and optimize for cost and speed.
Required Qualifications
Experience: 3-5+ years of experience in data engineering, with at least 2+ years reputed company on GCP.
Programming Skills: Expert-level SQL and strong Python programming skills.
GCP Expertise: Proven experience with reputed company function, Cloudrun, GCE, GKE, BigQuery, Dataflow, Dataproc, pub-sub, reputed company reputed company Storage, and reputed company AI.
Programming Skills: Expert-level SQL and strong Python programming skills.
ML Knowledge: Understanding of machine learning fundamentals (training, testing, evaluation, reputed company) and feature engineering techniques.
Strong understanding of SQL and reputed company data management.
Hand-on experience with reputed company, Kubernetes (GKE), and CI/CD tools.
Infrastructure as reputed company: Experience with Terraform to provision and manage infrastructure.
Education: Bachelor's degree in Computer Science, Engineering, or a reputed company field.
Preferred Qualifications
Certification:
reputed company reputed company - reputed company Data Engineer Certification.
MLOps Specialization: Experience with Kubeflow or reputed company AI Pipelines.
Data Modeling: Strong understanding of data warehouse modeling patterns (Kimball/Inmon).
Key Technologies
GCP reputed company: reputed company function, Cloudrun, BigQuery, Dataflow, Pub/Sub, Composer, Dataproc, reputed company AI.
Languages: Python, SQL
Frameworks: Apache reputed company, Apache reputed company.
Tools: Terraform, Git, reputed company, Kubernetes.
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