Senior Databricks Developer Job Description Template
The Senior Databricks Developer will be responsible for designing and implementing advanced data solutions on the Databricks platform. You will work closely with data engineers, data scientists, and stakeholders to ensure the efficient processing and utilization of data. Your expertise will be crucial in optimizing data workflows and maintaining high performance standards.
Responsibilities
- Design, develop, and implement advanced data solutions on the Databricks platform.
- Optimize ETL processes to ensure efficient and reliable data movement.
- Collaborate with data engineers and data scientists to understand data requirements and provide robust solutions.
- Conduct performance tuning and optimization of Databricks clusters.
- Monitor and troubleshoot data pipelines to ensure data quality and reliability.
- Lead the integration of Databricks with other data platforms and tools.
- Document processes and workflows to support data solutions.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in data engineering or a similar role.
- Proven expertise in Databricks and Spark.
- Strong experience in ETL processes and data modeling.
- Familiarity with cloud data platforms such as AWS, Azure, or GCP.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Skills
- Databricks
- Apache Spark
- ETL
- Data Modeling
- Performance Tuning
- Python
- SQL
- AWS
- Azure
- GCP
Frequently Asked Questions
A Senior Databricks Developer specializes in designing, developing, and optimizing big data solutions using the Databricks platform. They work with Apache Spark and various data technologies to build scalable data pipelines, ensure data quality, and provide insights. Their role includes collaborating with data scientists and engineers to enhance data workflows and implement machine learning models.
To become a Senior Databricks Developer, one typically needs a strong background in computer science or a related field, with extensive experience in big data technologies such as Apache Spark and cloud platforms like AWS or Azure. Proficiency in programming languages like Python or Scala, alongside Databricks certifications, can boost one's candidacy. Continuous learning and project experience in data engineering and analytics are crucial.
The average salary for a Senior Databricks Developer can vary widely based on location, experience, and the complexity of projects handled. Typically, this role offers a competitive wage due to the high demand for advanced data processing skills and expertise in Databricks. Candidates with extensive experience and certifications may command higher salaries in the market.
Key qualifications for a Senior Databricks Developer include a bachelor's or master's degree in computer science, data science, or a related discipline. In-depth knowledge of Apache Spark, proficiency in programming languages such as Python or Scala, and expertise in cloud services are essential. Certifications in Databricks or similar platforms enhance a candidate's qualifications.
A Senior Databricks Developer must possess advanced skills in big data processing, especially with Apache Spark and the Databricks platform. They are responsible for designing and optimizing data workflows, implementing ETL processes, and ensuring data quality. Collaboration skills are crucial as they often work with cross-functional teams including data scientists and analysts to deliver data-driven solutions.