Role: Big Data Developer with GCP

Location: Phoenix, AZ – Day 1 onsite 

Job Type: Contract

Job Description:

Key Responsibilities:

Design and Development:

• Design and implement scalable, high-performance data processing solutions using GCP services (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).
• Develop, maintain, and optimize ETL pipelines and data integration workflows.

• Ensure data quality and integrity throughout the data lifecycle.

  Data Architecture:

  • Develop and manage data architectures that support analytical and reporting needs.
  • Implement best practices for data storage, partitioning, and distribution to optimize performance.
• Collaboration and Communication:
  • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
  • Provide technical guidance and support to team members on GCP best practices.
• Performance Optimization:
  • Optimize and troubleshoot complex SQL queries, data processing jobs, and GCP services for performance and cost efficiency.
  • Monitor and manage data pipeline performance, ensuring minimal downtime and high availability.
• Security and Compliance:
  • Implement data security and privacy measures, ensuring compliance with relevant regulations and company policies.
  • Manage access controls and permissions for GCP data services.
• Automation and CI/CD:
  • Develop and maintain CI/CD pipelines for data workflows and applications.
  • Automate repetitive tasks and processes to improve efficiency and reduce manual effort.

Qualifications:

• Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience:
  • 6+ years of experience in big data development, with a strong focus on GCP.
  • Proven experience with GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
  • Hands-on experience with ETL processes, data modeling, and data warehousing.
  • Proficiency in programming languages such as Python, Java, or Scala.

  • Strong SQL skills and experience with query optimization.

     

    Skills:

    • Expertise in building and maintaining data pipelines using tools like Apache Beam, Apache Spark, or similar.
    • Familiarity with data security and governance practices on GCP.
    • Experience with version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, Cloud Build).
    • Strong problem-solving skills and attention to detail.
    • Excellent communication and collaboration skills.