Job Title

Job TitleFull Stack Data EngineerJob Description● Programming: Python, SQL, Shell scripting.● GCP Data Stack:○ Data Storage: BigQuery, Cloud Storage○ Data Processing: Dataflow (Apache Beam), Dataproc (Spark), Cloud Composer (Airflow) ○ Streaming: Pub/Sub○ Orchestration: Cloud Composer / Airflow○ APIs & Services: Cloud Run, Cloud Functions, API Gateway○ Monitoring: Cloud Logging, Cloud Monitoring, Stackdriver, or Prometheus/Grafana ● DevOps: Terraform, Git, Docker, Kubernetes, Cloud Build / Jenkins.● Data Visualization: Looker Studio, Power BI, or Tableau.● Version Control & CI/CD: GitHub, GitLab, or Bitbucket pipelinesKey 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.Good to Have● Certifications:○ Google Professional Data EngineerMandatory SkillsPython, API Integration, GCP