Sr Azure Databricks Developer Job Description Template
As a Sr Azure Databricks Developer, you will lead the development and implementation of advanced data processing systems on the Azure platform. You will optimize and manage large datasets, ensuring their effective integration and utilization while adhering to best practices in cloud data architecture.
Responsibilities
- Design, develop, and deploy data processing solutions using Azure Databricks.
- Collaborate with data engineers, architects, and business analysts to gather and analyze requirements.
- Develop, optimize, and manage complex data pipelines and workflows.
- Ensure data quality, integrity, and security across various data sources.
- Troubleshoot and resolve performance issues related to Databricks solutions.
- Document technical specifications and maintain comprehensive project documentation.
- Provide technical guidance and mentorship to junior developers.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Minimum of 5 years of experience in data engineering or similar roles.
- Proven expertise with Azure Databricks and data processing frameworks.
- Strong understanding of data warehousing, ETL processes, and data pipeline design.
- Experience with SQL, Python, and Spark.
- Excellent problem-solving and analytical skills.
- Effective communication and teamwork abilities.
Skills
- Azure Databricks
- Python
- Apache Spark
- SQL
- ETL processes
- Data Warehousing
- Data Pipeline Design
- Cloud Architecture
- Performance Tuning
- Technical Documentation
Frequently Asked Questions
A Senior Azure Databricks Developer specializes in building and managing data pipelines and big data solutions using Microsoft's Azure Databricks platform. This role involves designing scalable data architecture, implementing ETL processes, and transforming raw data into usable formats for analytics. Developers also collaborate closely with data scientists and analysts to optimize machine learning workflows in Databricks, ensuring efficient data processing and storage.
To become a Senior Azure Databricks Developer, individuals typically need extensive experience in data engineering and cloud platforms. A strong background in programming languages like Python, Scala, or SQL, combined with expertise in data architectures and systems like Spark, is essential. Professionals often hold degrees in computer science or a related field and stay up-to-date with Azure certifications. Continuous engagement with data trends and hands-on project experience further enhances their qualification.
The average salary for a Senior Azure Databricks Developer varies significantly based on factors like location, industry, and experience level. Typically, these professionals can expect to earn a competitive salary reflecting their advanced skills in data processing and cloud technologies. Employers highly value their expertise, and salaries often align with the high demand for developers skilled in Databricks and big data solutions.
Qualifications for a Senior Azure Databricks Developer include a bachelor's degree in computer science, software engineering, or a related discipline. Advanced knowledge of Azure cloud services, Databricks, and big data tools like Apache Spark is crucial. Certifications such as Microsoft Certified: Azure Data Engineer Associate enhance job prospects. Experience in data architecture, ETL development, and cloud-based data solutions are important qualifications.
Key skills for a Senior Azure Databricks Developer include proficiency in data processing frameworks like Apache Spark, expertise in cloud platforms such as Azure, and programming skills in languages like Python and Scala. Responsibilities involve designing robust data solutions, optimizing data pipelines, and collaborating with cross-functional teams to enhance analytics capabilities. They also ensure data security, compliance, and scalability in fast-paced environments.