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Data Engineer c2c careers San Francisco, CA

Contract

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Role: Data Engineer
Location: San Francisco, CA(2 Days Onsite)
Duration: Long Term
Strong SQL, Python, Pyspark, Scala.
Job Description:
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.

To apply for this job email your details to suresh.g@nextogen.com