Data Platform Engineer

Role Summary
We are seeking a proactive and detail-oriented Data Platform 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:

1. 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.

2. 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.

3. 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

Perks:

• Monthly Wellness Reimbursement Program to promote health well-being

• Paid paternity and maternity leaves