Data Support Engineer

Job Description

Company Description Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. Our Data team has created this role as part of the data engineering team to focus on the internal roadmap. Job Description Role Summary We are seeking a proactive and detail-oriented Data Support Engineer- to monitor production processes, manage incident tickets, and ensure seamless operations in our data platforms. The ideal candidate will have experience in Google Cloud Platform (GCP), Airflow, Python and SQL with a strong focus on enabling developer productivity and maintaining system reliability. Key Responsibilities: Production Monitoring: Monitor and ensure the smooth execution of production data pipelines and workflows. Identify and promptly address anomalies or failures in the production environment. Perform first-level investigation for issues, leveraging logs and monitoring tools. Incident Management: Create and manage tickets for identified production issues, ensuring accurate documentation of details and impact analysis. Assign tickets to the appropriate development teams and follow up to ensure timely resolution. Communication of incidents within the Data Team. Platform Support: Participate in daily standup and team meetings and contribute to platform improvement initiatives. Contribute to enhancing the platform to streamline development workflows and improve system usability. Required Skills: Bachelor’s degree with Minimum 1 year of experience working in supporting the production pipelines. Proficiency in SQL for debugging tasks. Familiarity with incident management tools like JIRA. Strong communication skills to interact with cross-functional teams and stakeholders. Good to have: Hands-on experience with Google Cloud Platform (GCP) services like BigQuery. Strong understanding of Apache Airflow and managing DAGs. Basic understanding of DevOps practices and automating CI/CD pipelines. Python Proficiency Note: This role requires candidates to work in UK timings. Saturday and Sunday will be working. Rotational off will be provided. Qualifications Bachelors degree in full time.