
Senior Data Engineering Specialist
2 weeks ago
We are seeking an experienced data engineer who can develop and implement modern data warehouse solutions using Databricks and Azure Stack. The ideal candidate will have a strong understanding of data engineering principles, experience working with Databricks, and the ability to provide innovative solutions in the data engineering and analytics space.
The successful candidate will collaborate with DW/BI leads to understand new ETL pipeline development requirements, triage issues to find gaps in existing pipelines, and work with business to understand reporting needs and develop data models to fulfill those needs.
In addition to technical skills, the ideal candidate will have strong verbal and written communication skills, as well as analytical and problem-solving skills with a high attention to detail.
Required Skills and Qualifications- Bachelor's and/or master's degree in computer science or equivalent experience.
- Total 6+ years of IT experience and 3+ years' experience in Data warehouse/ETL projects.
- Deep understanding of Star and Snowflake dimensional modeling.
- Strong knowledge of Data Management principles.
- Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture.
- Hands-on experience in SQL, Python, and Spark (PySpark).
- Candidate must have experience in AWS/Azure stack.
As a valued member of our team, you will enjoy a dynamic, fast-paced, and innovative environment with several ongoing concurrent projects. You will also have the opportunity to work with a diverse group of professionals and contribute to the growth and success of our organization.
OthersTredence is an equal opportunity employer. We celebrate and support diversity and are committed to creating an inclusive environment for all employees.
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