Data Engineer - ETL/Data Warehousing

Key Responsibilities :

- Build, and maintain end-to-end GCP data pipelines (batch and streaming).

- Ensure data platform uptime and performance in alignment with defined SLAs/SLOs.

- Develop ETL/ELT workflows using Cloud Composer (Airflow), Dataflow (Apache Beam), and BigQuery.

- Manage and enhance data lakes and warehouses using BigQuery and Cloud Storage.

- Implement streaming data solutions using Pub/Sub, Dataflow, or Kafka.

- Build data APIs and microservices for data consumption using Cloud Run, Cloud Functions, or App Engine.

- Define and enforce data quality, governance, and lineage using Data Catalog and Cloud Data Quality tools.

- Collaborate with DevOps to build CI/CD pipelines, infrastructure as code, and automated monitoring for data workflows.

- Participate in incident management, RCA, and change control processes following ITIL best practices.

- Mentor junior engineers and ensure adherence to engineering best practices.

Key Competencies :

- Experience in managed service delivery under strict SLAs (availability, latency, and resolution timelines).

- Strong understanding of GCP, IAM, and cost management.

- Strong knowledge of incident management, change management, and problem management using ITSM tools (e.g., ServiceNow, Jira).

- Ability to lead on-call operations in a 16/5 support model, coordinating across global teams.

- Understanding of data security, governance, and compliance.

- Excellent communication and client-handling skills.

- Ability to work in a 16/5 model, coordinating with global teams across time zones.