Data Engineer (DataOps)
Job details
About Us: We are an innovative technology company focused on delivering data-driven solutions that power our business operations and drive growth. We are looking for a skilled Data Engineer with deep expertise in Google Cloud solutions to join our team. This role is integral to building and maintaining our data infrastructure, ensuring scalability, security, and seamless integration with company-wide platforms.Key Responsibilities:Build and Maintain DataOps Pipelines: Design, develop, and manage DataOps pipelines to automate data processes, ensuring efficient and reliable data flow across the organization.API Development and Maintenance: Build, deploy, and maintain APIs using Google Cloud Functions and Cloud Run, ensuring they are robust, scalable, and secure.API Integration: Integrate APIs with various company-wide platforms, ensuring seamless data exchange and functionality across different systems.Database and Data Warehouse Management: Design, implement, and maintain databases and data warehouses to support analytics, reporting, and data-driven decision-making.Scalability and Security: Ensure all data solutions are scalable, secure, and comply with best practices and industry standards.Cross-Team Coordination: Collaborate with various teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver optimal data solutions.Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.3+ years of experience as a Data Engineer, with a strong focus on Google Cloud Platform (GCP).Proficiency in SQL, Python, and relevant programming languages.Extensive experience with GCP services such as Cloud Functions, Cloud Run, BigQuery, Cloud Storage, Dataflow, and Pub/Sub.Expertise in building and maintaining APIs, including integrating them with various platforms.Strong understanding of DataOps practices and experience in building automated data pipelines.Hands-on experience with database and data warehouse design, implementation, and management.Strong problem-solving skills and the ability to work both independently and collaboratively.Excellent communication skills and the ability to effectively coordinate with cross-functional teams.Preferred Qualifications:Google Cloud Professional Data Engineer certification.Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.Knowledge of security best practices and experience implementing them in cloud environments.What We Offer:Competitive salaryOpportunity to work on innovative projects with the latest technology.A collaborative and inclusive work environment.Professional development opportunities and room for career growth. PRB
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