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Data Science Developer
3 weeks ago
We are seeking a highly skilled Databricks PySpark developer to join our data platform implementation team.
This role involves designing, developing, and maintaining efficient ETL processes for extracting, transforming, and loading data from various sources into our data lake and data warehouse.
You will work closely with cross-functional teams including data scientists and business intelligence teams to build and optimize data workflows that support analytics and reporting needs.
Key responsibilities include:
- Designing and implementing scalable ETL pipelines using Databricks PySpark.
- Collaborating with data scientists to develop and maintain data models and visualizations.
- Ensuring data quality, integrity, and security across all data systems.
The ideal candidate will have strong technical skills in Python, Spark, and SQL, as well as excellent communication and collaboration skills.
Requirements:
- 3+ years of experience in data engineering or a related field.
- Strong understanding of big data technologies and architectures.
- Experience with Databricks PySpark and cloud-based data platforms.
- Excellent problem-solving and analytical skills.
What We Offer:
- A dynamic and collaborative work environment.
- Ongoing training and professional development opportunities.
- A competitive salary and benefits package.
