Databricks Developer
3 weeks ago
Job Description :
- Design, develop, and maintain data pipelines and workflows using Databricks.
- Create and manage ETL processes to ingest, process, and store large volumes of data.
- Develop and optimize Spark jobs and notebooks for efficient data processing.
Data Engineering :
- Work with large datasets and perform data transformations, aggregations, and analysis.
- Implement and manage data storage solutions in Databricks and Azure/AWS/GCP.
- Design and implement data models and schema changes as needed.
Collaboration :
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Provide technical support and guidance to team members and stakeholders on data-related issues.
Optimization and Performance :
- Monitor and optimize the performance of data pipelines and Spark jobs.
- Implement best practices for data governance, security, and quality.
Documentation and Reporting :
- Maintain clear documentation of data processes, architecture, and workflows.
- Create and present reports and dashboards to communicate findings and insights.
Qualifications :
- Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Advanced degrees or certifications are a plus.
Experience :
- Proven experience as a Databricks Developer or similar role with strong expertise in Databricks and Spark.
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Technical Skills :
- Proficiency in Spark, Databricks, and related technologies.
- Strong programming skills in Python, Scala, or SQL.
- Experience with data integration tools and frameworks.
- Knowledge of big data technologies and data storage solutions.
Soft Skills :
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to manage multiple tasks and work in a fast-paced environment.
Preferred Skills :
- Experience with machine learning and data science workflows.
- Familiarity with DevOps practices and tools related to data engineering.
- Knowledge of data privacy regulations and best practices
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