Software Development Engineer
3 weeks ago
About the Role:
We are seeking a talented and results-oriented Software Development Engineer - Data Science to join our growing team.
This is an immediate need, and we are looking for candidates who can start within 30 days.
In this role, you will play a critical role in bridging the gap between data science and software development by building and maintaining data pipelines and application frameworks for large-scale machine learning Collaborate with data scientists to understand machine learning (ML) product requirements.
- Design, develop, and implement data pipelines using ETL/ELT tools (Snowpipe, Snaplogic, AWS S2) to prepare and transform data for ML models.
- Develop and maintain application frameworks to deploy and operate ML models in production environments.
- Write clean, efficient, and maintainable code using Python and scripting languages.
- Perform data modeling tasks to ensure data quality and accessibility for ML projects.
- Monitor and troubleshoot data pipelines and applications to ensure smooth operation.
- Stay up-to-date on the latest advancements in data engineering and data science tools.
- Effectively communicate with data scientists, developers, and other Minimum 2 years of progressive experience with data-intensive systems and applications.
- Proven experience collaborating with data scientists on ML projects.
- Proficiency in SQL and data modeling concepts.
- Excellent command of Python and scripting languages.
- Experience with database technologies, including Snowflake and SQL.
- Hands-on experience with ETL/ELT tools (Snowpipe, Snaplogic, AWS S2) is a plus.
Nice to Have:
- Experience with additional database technologies (BigQuery, Google Analytics).
- Experience with BI tools such as Power BI and Tableau.
- Strong written and verbal communication skills.
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