Job Title: Azure Data Engineer
Location: On-Site
Employment Type: Full-Time Work
About The Role
We are seeking a motivated Mid-level Data Engineer with hands-on experience in Databricks to join our team. The ideal candidate will have a strong foundation in data engineering principles and a passion for building scalable data solutions. This role involves working with modern data platforms to design, develop, and optimize data pipelines that support analytics and business intelligence.
Key Responsibilities
- Design, develop, and maintain ETL pipelines using Databricks.
- Perform environment setup, establish data connections, and conduct testing within Databricks.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
- Optimize data workflows for performance and cost efficiency.
- Ensure data quality, integrity, and security across all processes.
- Troubleshoot and resolve issues in data pipelines and workflows.
- Working knowledge in modernization project development.
Required Qualifications
- 3 years as a Data Engineer with 12 years of experience in specifically in Databricks.
- Proficiency in Databricks (mandatory).
- Strong understanding of SQL and relational databases.
- Familiarity with data modeling and ETL concepts.
- Fluent in English (written and spoken).
- Must be available to work until 11:00 AM EST daily.
- Can start work in early November
Preferred Skills
- Experience with PySpark (a strong plus).
- Knowledge of cloud platforms (Azure).
- Familiarity with Delta Lake and data Lakehouse architecture.
- Basic understanding of CI/CD and version control (Git).
Skills: databricks,sql,etl,pyspark,azure,delta lake,data lakehouse,ci/cd,git
