Databricks Data Engineer (SQL, pySpark, Python) @ Upvanta Remote

Databricks Data Engineer (SQL, pySpark, Python) @ Upvanta

Remote

Requirements:

• Minimum 5 years of experience in the Data Engineering field
• At least 2 years of hands-on experience with Databricks
• Strong proficiency in SQL, PySpark, and Python
• Solid background in data warehousing, ETL, distributed data processing, and data modeling concepts
• Strong analytical and problem-solving skills, especially in a big data environment
• Experience working with structured, semi-structured, and unstructured data
• Hands-on experience with at least one public cloud platform (Azure, AWS, or GCP)
• Knowledge of relational database design and non-relational storage
• Familiarity with concepts such as Data Marts, Data Warehouses, Data Lakes, and Data Mesh
• Very good command of English (spoken and written)
• Experience with Agile methodologies (Scrum, Kanban) and working with DevOps and CI/CD principles

We are looking for an experienced Data Engineer to join our team and help us build and optimize cutting-edge big data, cloud, and advanced analytics solutions.

,[] Requirements: Data engineering, Databricks, SQL, PySpark, Python, ETL, Data modeling, Big Data, Cloud platform, AWS, GCP, Relational database, Storage, Data warehouses, Data Lake, Kanban, DevOps

Kategorie

data

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