Cloud Platform Expertise (Google Cloud Platform Focus)/Python and SQL Exp

Key Responsibilities

• Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.
• Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
• Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.
• Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills and Experience

• Cloud Platform Expertise (Google Cloud Platform Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (Google Cloud Platform) services, specifically:

BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.

Experience with other relevant Google Cloud Platform services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub

• Programming & Querying:

Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries

SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.

• Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
• DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.