AWS Data Engineer – Databricks
Hl7Interfacing•Houston, TX
•Hybrid
About The Position
We are seeking an experienced and highly skilled Databricks Developer to join our data engineering team. The ideal candidate will design, implement, and optimize large-scale data processing systems on Databricks, ensuring efficient data flow and seamless integration across platforms. You will work cross-functionally with other data professionals and business stakeholders to drive our data strategy and execution.
Requirements
- Minimum 7+ years in data engineering or related field
- At least 3+ years hands-on experience with Databricks and Apache Spark
- SQL (advanced)
- Python / PySpark (proficient)
- Strong background in ETL, data warehousing, and big data technologies
- AWS Cloud experience, including Redshift and RDS
- Databricks Lake experience
- Experience using Apache Airflow for orchestration
- Strong knowledge of data engineering best practices
- Proven ability to lead development teams
- Strong mentorship and project management skills
- Ability to collaborate cross-functionally with business and technical teams
Responsibilities
- Design, implement, and optimize large-scale data processing systems on Databricks
- Ensure efficient data flow and seamless integration across platforms
- Work cross-functionally with other data professionals and business stakeholders to drive data strategy and execution
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
