(352) FASTTEK | (352) 327-8835
FASTTEK GLOBALpowered by Fast Switch - Great Lakes
info@fasttek.com
(352) FASTTEK | (352) 327-8835
Chennai, Tamil Nadu
Data Engineer #35567
Job Description:
  • As a Data Engineer, you will be responsible for designing, building, and maintaining the robust data architectures and scalable pipelines that power the organization's data-driven decision-making using Google Cloud Platform. You will transform raw, unstructured data into high-quality datasets by implementing efficient ETL/ELT processes, managing cloud-based data warehouses, and ensuring the reliability and security of the entire data infrastructure. Working at the intersection of software engineering and data science, you will collaborate with cross-functional teams to optimize data accessibility and performance, ultimately enabling Data Scientists and Analysts to derive actionable insights from complex information systems.
  • Responsibilities:
  • Design and implement scalable ETL/ELT pipelines using Python and SQL to ingest, transform, and load large-scale datasets into Google Cloud Storage and BigQuery.
  • Orchestrate complex data workflows and DAGs through Astronomer/Airflow to ensure high availability and reliable scheduling of data processes.
  • Utilize Terraform to manage and provision cloud infrastructure as code, ensuring consistent and reproducible environments across the Google Cloud Platform.
  • Build and maintain automated CI/CD pipelines using Tekton/ GCP Cloud Native services to streamline the testing, containerization, and deployment of data services.
  • Deliver AI-ready data products that are specifically structured and optimized with applying metadata on objects for machine learning consumption and advanced data analysis.
  • Optimize BigQuery performance through strategic schema design, partitioning, and clustering to minimize costs and maximize query efficiency.
  • Conduct deep-dive data analysis to validate data integrity and ensure that all outputs meet the rigorous quality standards required for production-level AI systems.
  • Partner with cross-functional teams to translate business requirements into technical data specifications and highly curated data assets.
Skills Required:
  • Google Cloud Platform (BigQuery, Vertex AI, Cloud Run, CloudBuild, Secret Manager, Pub/Sub, DataFlow, DataForm, Dataproc, GIT Actions, Artifact Registry, Docker),
  • Strong Python + SQL + Fast API,
  • CI/CD Pipelines,
  • Tekton/Terraform,
  • Astronomer/Airflow
  • Frontend (React, Streamlit etc,,)
Skills Preferred:
  • Data Management
Experience Required:
  • Engineer Exp: 7+ years Data Engineering  work experience
Education Required:
  • Bachelor's Degree