GCP Engineer

As a GCP Data Engineer with expertise, you will be responsible for managing, maintaining, and troubleshooting cloud data pipelines. The ideal candidate should have over 5 years of industry experience in Data Engineering support and enhancement. You will need to be proficient in any Cloud Platform services (GCP, Azure, AWS, etc.) and have a strong understanding of data pipeline architectures and ETL processes. Your role will involve leveraging your excellent Python programming skills for data processing and automation, along with SQL query writing skills for data analysis and experience with relational databases. Additionally, familiarity with version control systems like Git is required. Your responsibilities will include analyzing, troubleshooting, and resolving complex data pipeline issues. You will utilize your software engineering experience to optimize data pipelines, improve performance, and enhance reliability. It is essential to continuously optimize data pipeline efficiency, reduce operational costs, automate repetitive tasks in data processing, and monitor and alert for Data Pipelines. You will be expected to perform SLA-oriented monitoring for critical pipelines and implement improvements post-business approval for SLA adherence if needed. Moreover, your role will involve monitoring the performance and reliability of data pipelines, Informatica ETL workflows, MDM, and Control-M jobs. Conducting post-incident reviews, implementing improvements for data pipelines, and developing/maintaining documentation for data pipeline systems and processes are crucial aspects of the job. Experience with Data Visualization using Google Looker Studio, Tableau, Domo, Power BI, or similar tools is considered an added advantage. To qualify for this position, you should possess a Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. Holding any Cloud Professional Data Engineer certification will be an added advantage. Excellent verbal and written communication skills are necessary for effective collaboration and documentation. Strong problem-solving and analytical skills are key to addressing challenges in data engineering. TELUS Digital is an equal opportunity employer committed to creating a diverse and inclusive workplace that values merit, competence, and performance without regard to any characteristic related to diversity.,