Job Title: DATA Engineer Location: Alpharetta, Ga Core Responsibilities: Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow, Pub/Sub, Cloud Composer, and Dataproc. Data Warehousing: Design and optimize analytical models in BigQuery, implementing best practices in schema design and performance tuning. Infrastructure & CI/CD: Deploy data infrastructure with Terraform; create and manage CI/CD pipelines for workflow automation. Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices. AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs) for advanced data transformation. Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution. Technical Skills: Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage Expertise in SQL, Python, and ETL/ELT development Knowledge of Infrastructure as Code tools (e.g., Terraform) Familiarity with CI/CD tools: Google Cloud Build, Jenkins Understanding of data modeling, partitioning, clustering, and materialized views Working knowledge of data quality frameworks and governance principles Experience with Vertex AI, or a strong interest in ML/AI workflows on GCP Apache Spark, Kafka, Apache Airflow DBT or Dataform for transformations Docker, Kubernetes for Containerization Snowflake, Databricks or other modern platforms Soft Skills: Strong communication and collaboration skills Ability to manage priorities and work independently Analytical thinking and problem-solving mindset Preferred Skills (Bonus): Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) Domain experience in energy, utilities, or industrial sectors Experience Requirements: Education: Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience) Professional Experience: 6-8 years of experience in data engineering Proven hands-on experience with GCP and modern data architecture Job Type: Contract Expected hours: 8 per week Schedule: 8 hour shift Experience: GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage: 7 years (Required) SQL, Python, and ETL/ELT development: 7 years (Required) Infrastructure as Code tools (e.g., Terraform): 8 years (Required) Location: Alpharetta, GA 30004 (Required) Work Location: In person