Senior Big Data Developer Job Description Template
The Senior Big Data Developer will lead the design and implementation of data processing systems, ensuring optimal performance and scalability. This role involves close collaboration with data scientists, analysts, and other stakeholders to streamline data workflows and support efficient data-driven decision-making across the organization.
Responsibilities
- Design and implement scalable data processing systems using Big Data technologies.
- Collaborate with data scientists and analysts to understand data requirements and optimize data workflows.
- Develop and maintain data pipelines to ingest, process, and store large volumes of data.
- Ensure the reliability, efficiency, and scalability of data processing platforms.
- Implement data quality checks and monitoring processes.
- Optimize data storage and retrieval for performance and cost-efficiency.
- Provide technical leadership and mentorship to junior developers.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in Big Data development and data engineering.
- Strong background in Big Data technologies such as Hadoop, Spark, Kafka, and HDFS.
- Proven experience designing and developing scalable data processing systems.
- Proficiency in programming languages such as Java, Scala, or Python.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and attention to detail.
Skills
- Hadoop
- Spark
- Kafka
- HDFS
- Java
- Scala
- Python
- AWS
- Azure
- Google Cloud
- Data Warehousing
- Data Engineering
- Data Pipeline Development
Frequently Asked Questions
A Senior Big Data Developer designs, develops, and maintains scalable data processing systems. They manage large datasets and leverage tools like Hadoop and Spark to process, analyze, and interpret complex data to support business needs. They work closely with data scientists and engineers to optimize data workflows and enhance performance.
To become a Senior Big Data Developer, individuals typically need a strong background in computer science, data engineering, or a related field. Experience in programming languages like Java or Python and familiarity with big data technologies such as Hadoop, Spark, and Kafka are essential. Gaining several years of experience in data management positions is also critical.
The average salary for a Senior Big Data Developer varies based on location, experience, and industry, but it is generally high due to the demand for skilled professionals. These developers are often compensated well for their expertise in managing complex data systems and supporting strategic data-driven decisions within organizations.
Qualifications for a Senior Big Data Developer typically include a bachelor's or master's degree in computer science, data engineering, or a related discipline. Extensive experience with big data tools and technologies, proficiency in programming languages, and the ability to design complex data architectures are key qualifications for this role.
A Senior Big Data Developer needs skills in data modeling, ETL processes, and proficiency with big data technologies like Hadoop and Spark. They are responsible for ensuring efficient data processing, building and optimizing data pipelines, and collaborating with data teams to support analytics and machine learning initiatives.