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Data Engineer
Location - Las Vegas Day 1 Onsite
Client needs someone independent contractors like / – who can work on W2 / 1099 or Own corp.
We have 2 roles here Lead Data engineer / Architect Data Engineer - Strong in Python ; Snowflake ; SQL
Skills - Strong in Python ; Snowflake ; SQL
Position Summary Credit One Bank is seeking an IT Data Technologies & Innovation Internto gain hands-on experience by assisting in the development and design of robust data pipelines using industry-standard tools like Airflow, PySpark, and Snowflake. Contribute to a forward-thinking team by exploring and researching emerging GenAI algorithms to identify innovative ways of transforming and utilizing data. Participate in the full data analysis lifecycle, using platforms such as Spark and Jupyter Notebooks to derive meaningful insights from complex datasets.
Position Requirements:
Data Engineer
Location - Las Vegas Day 1 Onsite
Client needs someone independent contractors like / – who can work on W2 / 1099 or Own corp.
We have 2 roles here Lead Data engineer / Architect Data Engineer - Strong in Python ; Snowflake ; SQL
Skills - Strong in Python ; Snowflake ; SQL
Position Summary Credit One Bank is seeking an IT Data Technologies & Innovation Internto gain hands-on experience by assisting in the development and design of robust data pipelines using industry-standard tools like Airflow, PySpark, and Snowflake. Contribute to a forward-thinking team by exploring and researching emerging GenAI algorithms to identify innovative ways of transforming and utilizing data. Participate in the full data analysis lifecycle, using platforms such as Spark and Jupyter Notebooks to derive meaningful insights from complex datasets.
Position Requirements:
- Majoring in Computer Science, Information Technology, Information Systems, Data Science, or a related field.
- Familiarity in Java, Python, SQL, Cloud Computing, Software Architecture Patterns.
- Present in Las Vegas, NV
- Design, build, and test data pipelines to ensure the reliable flow of data for analysis and business use.
- Explore and document potential applications of Generative AI algorithms for use in data engineering processes.
- Execute data analysis tasks, using appropriate tools, to generate insights from complex datasets.