What are the responsibilities and job description for the Google Data Engineer position at Heliogic LLC?
Job Details
Title: Google Cloud Platform Data Engineer (BigQuery & Google Cloud Platform )
Location: Dallas TX, Basking Ridge NJ (Hybrid)
Employment Type: Full Time
Exp 10 only
Job Summary:
We are looking for a highly skilled Google Cloud Platform Engineer with expertise in BigQuery and other Google Cloud Platform services to design, implement, and optimize data solutions on Google Cloud Platform. The ideal candidate will have strong experience in data engineering, cloud computing, and large-scale data processing.
Key Responsibilities:
Design, develop, and optimize BigQuery data warehouses, ensuring high performance and cost efficiency.
Build and maintain scalable ETL pipelines using Google Cloud Platform services such as Cloud Dataflow, Cloud Dataproc, and Cloud Composer (Airflow).
Implement data ingestion, transformation, and processing workflows using Python, SQL, and Spark.
Work with Cloud Storage, Pub/Sub, and Cloud Functions to facilitate real-time and batch data processing.
Ensure data security, governance, and compliance using IAM, encryption, and audit logging.
Collaborate with Data Scientists and Analysts to optimize query performance and enable advanced analytics.
Troubleshoot performance issues, optimize queries, and manage BigQuery cost and resource utilization.
Implement CI/CD pipelines for data workflows using Terraform and Cloud Build.
Monitor and maintain Google Cloud Platform infrastructure, ensuring reliability and scalability.
Required Skills & Experience:
10 years of experience working as a Google Cloud Platform Data Engineer or similar role.
Strong expertise in Google BigQuery performance tuning, partitioning, clustering, and cost optimization.
Hands-on experience with ETL tools and frameworks, including Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark), and Cloud Composer (Airflow).
Proficiency in SQL, Python, and Shell scripting for data transformation and automation.
Experience with Google Cloud Storage, Pub/Sub, and Cloud Functions.
Strong understanding of Google Cloud Platform IAM, security best practices, and data governance.
Familiarity with Terraform, Cloud Build, and CI/CD for infrastructure automation.
Ability to work with large-scale datasets and real-time streaming data processing.
Experience in data modeling, schema design, and optimization techniques.
Strong analytical and problem-solving skills.
Preferred Qualifications:
Google Cloud Platform Professional Data Engineer Certification is a plus.
Experience with Machine Learning workflows on Google Cloud Platform (Vertex AI, AutoML, TensorFlow on AI Platform) is a plus.
Experience with Kubernetes (GKE) and containerized deployments is a plu
Google Cloud Platform Professional Data Engineer Certification is a plus.
Experience with Machine Learning workflows on Google Cloud Platform (Vertex AI, AutoML, TensorFlow on AI Platform) is a plus.
Experience with Kubernetes (GKE) and containerized deployments is a plu
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