Description
Job Title: Data Engineer
Schedule: Business Hours Eastern Time
Salary Range: TBD
Location: Fully Remote
Summary of the Role:
We are looking for a talented Data Engineer with a strong focus on Python development to join our dynamic team. The ideal candidate will have a proven track record in developing enterprise data and information architecture, emphasizing reusable standards. You will be instrumental in building scalable cloud-based solutions, including Azure lakehouses and Realtime Streaming Analytics Platforms. Your expertise in Python and SQL, along with your ability to create data lakes and warehouses, will be essential to our success.
Responsibilities:
- Develop and maintain enterprise data and information architecture with a focus on reusable standards.
- Design and implement scalable cloud-based solutions, including Azure lakehouses and Realtime Streaming Analytics Platforms.
- Utilize Python for data manipulation, transformation, and automation tasks.
- Leverage SQL for database management and querying.
- Create and maintain data lakes and warehouses to support operational and business intelligence needs.
- Ensure data integrity, quality, and security across all systems.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Communicate effectively through both written and verbal channels.
- Manage priorities effectively with a self-motivated and business-oriented approach.
Requirements
- Proficiency in Python and SQL for data engineering tasks.
- Proven experience in developing enterprise data and information architecture with a focus on reusable standards.
- Experience building scalable cloud-based solutions, particularly with Azure lakehouses and Realtime Streaming Analytics Platforms.
- Demonstrated expertise in creating and managing data lakes and warehouses for operational and business intelligence purposes.
- Strong problem-solving skills and attention to detail.
- Effective written and verbal communication abilities.
- Self-motivated with the capability to manage priorities effectively and a business-oriented mindset.
- Familiarity with data integration, ETL processes, and data warehousing concepts.
