Python Data Engineer

Key Required Skills:

• 8+ years of experience in design and build of scalable data pipelines that deal with extraction, transformation, and loading.
• 6+ years of experience with python in Data Engineering with an emphasis on Data Warehousing and Data Analytics.
• 4+ years of SQL experience.
• 2+ years of experience with Kafka or pub/sub, Airflow, Docker, Kubernetes.
• 4+ years’ experience in leading cloud platforms, preferably GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.).
• At least 2 years of experience in Data governance and Metadata Management with tools like Collibra , Dataplex.
• Ability to work independently, solve problems, update the stake holders.
• Strong understanding of relational and dimensional data modeling with 2+ years’ experience in architecture design and documentation.
• Experience in DevOps and CI/CD related technologies.
• Banking domain experience preferred, not required.