Senior Databricks Developer
3 weeks ago
Job Summary:
We are seeking a highly skilled Senior Databricks Engineer to join our team at AsalJobs. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, Spark, and Azure Data Factory.
Key Responsibilities:
- Design, implement, and optimize end-to-end data pipelines using Azure Databricks.
- Utilize Azure Databricks for data transformation tasks, including cleansing, aggregation, and enrichment of datasets.
- Implement automation for data workflows and monitoring pipelines to ensure data integrity and availability.
- Collaborate with actuarial scientists and analysts to deliver high-quality data solutions.
Requirements:
- 6-10 years of hands-on experience in SQL and Python development.
- Proven track record of building complex data validation and transformation projects using both SQL and Python.
- Demonstrated experience working in a financial services company, with a focus on life insurance sector.
- Strong practical knowledge in SQL and Python, with an emphasis on creating reusable code.
- Experience with data manipulation tools and libraries, including Pandas and NumPy.
- Experience with relational and NoSQL databases, including SQL Server and CosmosDB.
- Experience with data integration tools and techniques, including ETL processes and data pipelines.
- Proficient in writing base code that dynamically generates multiple code instances based on a configuration file.
- Experience working in Azure cloud environment, particularly with data lakes.
- A solid knowledge and experience in well-architected frameworks for data platforms in the cloud.
- Familiarity with writing SQL or Python code for accessing and processing data in a data lake.
- Knowledge of Databricks, Spark, or similar frameworks for processing large datasets.
- Knowledge of Apache Spark, including Spark SQL and DataFrame/Dataset API.
- Proficiency in setting up and managing Databricks clusters, notebooks, and jobs within the Azure ecosystem.
- Understanding of Azure security best practices and compliance standards relevant to data engineering workflows in Azure Databricks.
What We Offer:
- A competitive salary and benefits package.
- The opportunity to work with a talented team of data engineers and scientists.
- A collaborative and dynamic work environment.
How to Apply:
Please submit your resume and a cover letter outlining your experience and qualifications for this role.
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