What are the responsibilities and job description for the Data Engineer (Only W2 Candidates) position at SANS?
Job Details
- Design and implement scalable, reliable, and secure data solutions.
- Proficient in SQL and data modeling concepts.
- Develop data models and schemas optimized for performance and maintainability.
- Build and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources.
- Optimize data workflows for efficiency and cost-effectiveness.
- Collaborate closely with data analysts and business teams to understand their requirements.
- Build frameworks for data ingestion pipelines that handle various data sources, including batch and real-time data.
- Participate in technical decision-making.
- Design, develop, test, deploy, and maintain data processing pipelines.
- Design and build scalable, reliable infrastructure with a strong focus on quality, security, and privacy techniques.
- Communicate complex technical concepts effectively to diverse audiences.
- Understand business KPIs and translate them into technical solutions.
- Create detailed technical documentation covering processes, frameworks, best practices, and operational support.
- Provide constructive feedback during code reviews.
- Bachelor's degree in Computer Science, Computer Engineering, or Information Systems Technology
- 5 years of overall experience in software development using Python
- Strong experience with SQL and database technologies (Relational and NoSQL).
- Hands-on experience with data pipeline frameworks (e.g., Apache Spark, Airflow, Kafka).
- Familiarity with cloud platforms (Google Cloud Platform) and data services.
- Knowledge of data modeling, ETL/ELT processes, and performance optimization.
- Strong analytical and communication skills: verbal and written
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