GCP Data Engineer

4 weeks ago

Allen Park, Michigan, United States KYYBA Inc Full time

Job Title: GCP Data Engineer - Cloud Computing Expert

Job Summary:

We are seeking a highly skilled GCP Data Engineer to join our team at KYYBA Inc. As a GCP Data Engineer, you will be responsible for designing and implementing data-centric solutions on Google Cloud Platform (GCP) using various GCP tools.

Key Responsibilities:

  • Design and implement data-centric solutions on GCP using various GCP tools.
  • Build ETL pipelines to ingest data from heterogeneous sources into our system.
  • Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data.
  • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets.
  • Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements.
  • Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.
  • Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.
  • Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures.
  • Troubleshoot and resolve issues related to data processing, storage, and retrieval.
  • Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
  • Implement security measures and data governance policies to ensure the integrity and confidentiality of data.
  • Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives.
  • Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance.
  • Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.
  • Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment.

Requirements:

  • 8 years of professional experience in data engineering, data product development, and software product launches.
  • At least three of the following languages: Java, Python, Spark, Scala, SQL, and experience performance tuning.
  • 4 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using data warehouses like Google BigQuery, workflow orchestration tools like Airflow, relational database management systems like MySQL, PostgreSQL, and SQL Server, real-time data streaming platforms like Apache Kafka, GCP Pub/Sub, microservices architecture, REST APIs, and DevOps tools like Tekton, GitHub Actions, Git, GitHub, Terraform, Docker, and project management tools like Atlassian JIRA.
  • Automotive experience is preferred.
  • Support in an onshore/offshore model is preferred.
  • Excellent problem-solving and prevention skills.
  • Knowledge and practical experience of agile delivery.

Preferred Qualifications:

  • Experience in IDOC processing, APIs, and SAP data migration projects.
  • Experience working in SAP S4 Hana environment.

Education:

  • Requires a bachelor's or foreign equivalent degree in computer science, information technology, or a technology-related field.

Additional Information:

GCP Certification preferred. Hybrid with up to 4 days a week on site.

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