Senior Data Engineer
Job Description
Senior Data Engineer role, remote W2, USD 50-55 per hour, with Sgn Global Technologies, focusing on SQL databases, ELT/ETL pipelines, and data processing using Python, PySpark/Polars, Azure Synapse Analytics, and Azure Machine Learning.
Responsibilities
- Maintain and optimize SQL databases, executing advanced SQL and T-SQL queries.
- Design, build, and sustain ELT/ETL pipelines in cloud-based analytics environments.
- Collaborate with Azure Synapse Analytics and Azure Machine Learning within the modern data stack; DP-203 (or equivalent) certification is preferred.
- Data manipulation using Python, with Pandas required.
- Experience with PySpark or Polars is preferred.
- Develop reusable, modular, and maintainable code.
Requirements
- Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or a related field
- Minimum 6 years of relevant hands-on experience
- 5+ years of hands-on experience in maintaining SQL databases and performing advanced SQL and T-SQL operations
- 5+ years of hands-on experience in designing, implementing, and maintaining ELT/ETL pipelines in cloud-based data analytics environments
- 3+ years of hands-on experience with Azure Synapse Analytics and Azure Machine Learning within the modern data stack; DP-203 (or equivalent) certification is preferred
- Data manipulation using Python, with Pandas required
- Experience with PySpark and/or Polars is preferred
Technologies
- SQL
- T-SQL
- Azure Synapse Analytics
- Azure Machine Learning
- Python
- Pandas
- PySpark
- Polars