Job Summary

We are seeking a skilled and experienced Data Engineer with strong proficiency in Python and SQL to build, maintain, and optimize data pipelines and systems that support our data infrastructure. The ideal candidate will have a strong background in software engineering, data modeling, and performance tuning, with a focus on scalable and reliable data solutions.

Required Qualifications

• 5+ years of professional experience in software or data engineering roles.
• Proficient in Python, with demonstrated experience building robust data solutions.
• Strong knowledge of SQL, including relational database design, query optimization, and performance tuning.
• Solid understanding of software engineering principles, data structures, and design patterns.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Understanding of data warehousing concepts and best practices.
• Excellent problem-solving, communication, and team collaboration skills.

Preferred Qualifications (Nice to Have)

• Hands-on experience with Snowflake or other cloud-based data warehouses.
• Experience with ETL/ELT tools and data orchestration frameworks (e.g., Apache Airflow, dbt).
• Familiarity with DevOps practices and containerization technologies (e.g., Docker, Kubernetes).
• Background in working within enterprise-scale, data-driven environments.
• Experience with CI/CD pipelines for data pipeline deployment and testing.

Let me know if you'd like this tailored for a specific industry, tech stack, or organizational tone.