GCP Data Engineer

• Lead Technical team to deliver Business use case
• Coordinate, plan and execute Business Delivery
• Track, Raise and communicate progress, risks, raids on time and have proper planning in place.
• Leads by doing (not managing): guides engineers/teams through complexity and raises engineering standards through day-to-day actions.
• Strong fundamentals with a continuous improvement mindset; willing to learn the best tool/language for the problem.
• Modern delivery and operations experience: end-to-end ownership, continuous delivery/DevOps practices, and use of operational metrics (e.g., DORA).
• Broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery.
• AI/ML technology evolution focus: stays current on applied Artificial Intelligence (including Generative AI) and identifies practical opportunities to embed AI into data and engineering workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality.

To be successful, you will:

• Data Delivery Lead (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS), Cloud SQL,
• Good knowledge of Banking Data Domain, delivery tracking, End to End delivery in AGILE ways.
• Good understanding concepts on GCP console, BQ/GCS/Git, Jenkins, Airflow, Pub/Sub/Kafka, CI/CD
  • Good understanding concepts on Agentic AI frameworks