Big Data Developer / Technical Lead Job Description Template
As a Big Data Developer / Technical Lead, you will be responsible for leading the development and optimization of big data solutions. You will guide a team of developers, collaborate with stakeholders, and ensure that data-driven technologies are effectively implemented to meet organizational goals.
Responsibilities
- Design, implement, and maintain large-scale big data applications.
- Lead and mentor a team of big data developers.
- Collaborate with stakeholders to understand business requirements and translate them into technical designs.
- Optimize and enhance the performance of big data platforms.
- Ensure data integrity and quality by implementing best practices for data management.
- Conduct code reviews and provide constructive feedback to team members.
- Stay updated with the latest trends and technologies in big data and data engineering.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Big Data Developer or Technical Lead.
- Strong understanding of big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data modeling, data warehousing, and ETL processes.
- Excellent problem-solving skills and ability to troubleshoot complex issues.
- Strong leadership and team management skills.
- Effective communication skills, both verbal and written.
Skills
- Hadoop
- Spark
- Kafka
- ETL
- Data Warehousing
- Data Modeling
- Python
- Java
- SQL
- Team Leadership
- Project Management
Frequently Asked Questions
A Big Data Developer / Technical Lead is responsible for designing, coding, and implementing Big Data solutions. Their role involves analyzing complex data sets, creating data pipelines, and developing scalable systems to process large volumes of data efficiently. They also lead technical teams, set project standards, and evaluate the latest technologies to enhance data processing capabilities.
To become a Big Data Developer / Technical Lead, one should acquire a bachelor's degree in Computer Science, Information Technology, or a related field. Gaining hands-on experience with data analytics, Hadoop, Spark, and other Big Data technologies is crucial. Progressing from a junior developer role and acquiring leadership skills through experience or additional training can help transition into a Technical Lead position.
The average salary for a Big Data Developer / Technical Lead varies based on factors like experience, industry, and location. Generally, professionals with several years of experience in Big Data technologies and leadership roles can expect competitive compensation packages. Salaries are influenced by technical expertise in high-demand skills such as Hadoop, Kafka, and cloud technologies.
A Big Data Developer / Technical Lead typically requires a specialized qualification such as a bachelor's or master's degree in Computer Science, Engineering, or similar. Certifications in Big Data technologies like Hadoop, Spark, or AWS can enhance career prospects. The role also demands strong analytical skills, experience in programming languages like Java or Python, and leadership abilities.
Essential skills for a Big Data Developer / Technical Lead include proficiency in Big Data frameworks like Hadoop and Spark, as well as programming languages like Java, Python, or Scala. Responsibilities encompass designing robust data architectures, managing data flow processes, leading development teams, and ensuring data security and compliance. Effective communication and problem-solving capabilities are also pivotal for this role.