Senior Data Engineer
Location: Orlando, FL (Hybrid, 4 days onsite)
Job Summary:
We are seeking a skilled and experienced Data Engineer to join our team in Orlando. The ideal candidate will have a strong technical background in ELT/ETL pipeline development, SQL coding, and data design. This role requires a collaborative individual who can work across business domains, manage large datasets, and leverage modern data and cloud-based technologies.
Required Qualifications & Skills
- 5+ years of overall technical experience in data engineering or related fields.
- Experience developing and maintaining ELT/ETL data pipelines.
- Technical Skills:
- High proficiency in SQL coding.
- Expertise with Python, Docker, and database platforms like Snowflake or PostgreSQL.
- Familiarity with job scheduling software (e.g., Apache Airflow).
- Strong understanding of database design and multi-environment development (Dev, QA, Prod).
- Proficiency with source control tools (e.g., GitLab/GitHub).
Preferred Qualifications
- Experience working with large datasets and big data/cloud-based technologies such as Snowflake, Databricks, or similar.
- Familiarity with API development.
- Proficiency with containerization tools like Docker or Kubernetes.
- Understanding of cloud architecture and services, preferably AWS.
- Expertise in data orchestration tools (e.g., Apache Airflow).
Key Competencies
- Solution-oriented mindset with the ability to optimize and enhance data processes.
- Effective problem-solving skills to navigate complex technical challenges.
- Team player with a collaborative approach to achieve project goals.
If you're a dedicated Data Engineer with a passion for building scalable data solutions, we'd love to hear from you!