
Data Bricks Developer
2 weeks ago
Responsibilities:
- Design, develop, and maintain data processing pipelines using Databricks on the Azure platform.
- Collaborate with data engineers, data scientists, and other stakeholders to optimize workflows and ensure data quality.
- Implement ETL processes to extract, transform, and load data from various sources.
- Work with Spark SQL and Databricks notebooks to analyze and transform data.
- Ensure efficient data flow across diverse systems.
- Provide technical guidance to teams and anchor proof-of-concept projects.
- Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements.
- Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies
- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
- Understanding of Cognos DB and Synapse.
Requirements:
- Bachelors degree in computer science, Engineering, or related field.
- 3 to 5 years of hands-on experience as a Databricks
- Strong proficiency in Apache Spark and Databricks.
- Strong knowledge on PySpark
- Experience with Scala and/or Python programming languages.
- Solid understanding of data warehousing concepts and ETL processes.
- Familiarity with cloud platforms - Azure
- Version control tools knowledge (e.g., Git).
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