Sr. Data engineer
DATAECONOMY
Good decision-making and problem-solving skills Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, Machine Learning and SQL warehouse). Strong experience in coding custom ETL pipelines using spark and deploy in Databricks. Knowledge of medallion architecture, DLT and unity catalog within Databricks. Understanding of core AWS services, uses, and AWS architecture best practices Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc. Solid knowledge on Airflow Solid knowledge on CI/CD pipeline in AWS technologies Solid programming background on scala spark and/or pySpark Experience with Docker and Kubernetes is a plus #J-18808-Ljbffr DATAECONOMY
Vacancy posted 2 days ago
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