Immediate Interview: Job opportunity for Data Engineer @ San Francisco, CA(2 Days Onsite).

Required Skills & Experience:

• Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand larger picture.
• Sound knowledge to understand Architectural Patterns, best practices and Non[1]Functional Requirements
• Overall, 5+ years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent.
• 5+ years of experience with strong proficiency in Python and Spark (must-have).
• 3+ years of hands-on experience in ETL workflows using Spark, Scala and Python.
• 3+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes – near real time, batch, realtime.
• Solid understanding of data quality, data accuracy concepts and practices.
• 2+ years of experience working with Python deep learning libraries like PyTorch, Tensorflow, Keras.
• Experience integrating with various data stores, including: SQL/NoSQL databases o In-memory stores like Redis o Data lakes (e.g., Delta Lake).

Required:
Experience with Databricks or similar data lake / data platform.

Required:
NoSQL/ SQL

• Plus: Java and Spring Boot experience
• Familiarity with notebook-based environments such as Jupyter Notebook.
• Adaptability: Must be open to learning new technologies and approaches.
• Initiative: Ability to take ownership of tasks, learn independently, and innovate.
• With technology landscape changing rapidly, ability and willingness to learn new technologies as needed and produce results on job.

Preferred Skills:

• Strong Java skills (preferable)
• Ability to pivot from conventional approaches and develop creative solutions