What makes you a great fit:

• 6+ years of experience as a Data Engineer
• Hands-on experience with Airflow for managing workflows and building complex data
• pipelines in a production environment.
• Experience working with big data and ETL development.
• Strong proficiency in SQL and experience working with relational databases
• Programming skills in PySpark, Spark with Scala, Apache Spark, Kafka, or Flink.
• Experience working with cloud computing services (eg : GCP, AWS, Azure).
• Experience with Data Science workflows
• Experience in data modeling and creating data lakes using GCP services like BigQuery and Cloud Storage.
• Expertise in containerization and orchestration using Docker and Kubernetes (GKE) for
• scaling applications and services on GCP.
• Version control experience with Git and familiarity with CI/CD pipelines (e.g., Github actions).
• Strong understanding of data security, encryption, and GCP IAM roles to ensure
• privacy and compliance (especially in relation to GDPR and other regulations).
• Experience in ML model lifecycle management (model deployment, versioning, and retraining) using GCP tools like AI Platform, TensorFlow Extended (TFX), or Kubeflow, and Vertex AI.
• Excellent problem solving and communication skills both with peers and experts from other areas.
• Self-motivated and have a proven ability to take initiative to solve problems.