LATAM Data Ops Engineer

Responsibilities

• Maintaining operations for big data ETL/ ELT pipelines using Google Cloud Composer, Python, SQL and DBT on GCP.
• Maintaining operations for data ingestion processes landing data into Google Storage, Big Query and Big Table.
• Troubleshoot data pipeline errors and follow incident management and escalation procedures.
• Maintain and enhance, and follow runbooks, SOPs, and handoff documentation for operational processes.
• Manage operational tasks such as platform maintenance, upgrades, and KTLO (keep‑the‑lights‑on) work.
• Execute incident response and escalation, including after‑hours/on‑call support when required.

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• 1 to 3 years of experience in data operations
• Bachelor's Degree or Equivalent
• Demonstrated experience with GCP
• Demonstrated experience of incident management and escalation
• Demonstrated experience of running operations for end to end data pipelines
• Demonstrated experience of following run books and triaging data pipeline errors
• Demonstrated experience in supporting data pipelines and data warehouses
• Demonstrated strong troubleshooting and problem-solving skills
• Demonstrated expert level experience of SQL
• Demonstrated experience with Airflow and Google Composer
• Demonstrated expert with Big Query, Google Storage, Data Flow, Big Table
• Demonstrated understanding of Data warehouse best practices including Relational and Dimensional Modeling
• Demonstrated experience of DBT, Python and Java