A Big Data Engineer/Architect is responsible for designing, building, and maintaining large-scale data processing systems. They are responsible for developing and maintaining data pipelines, optimizing data storage and retrieval, and ensuring data quality and security. They work closely with data scientists, analysts, and other stakeholders to understand their data needs and build solutions that meet those needs.
Tasks:
- Designing and implementing big data solutions using technologies such as Hadoop, Spark, and NoSQL databases.
- Building and maintaining data pipelines to ensure efficient and reliable data processing.
- Developing and implementing data security measures to protect sensitive information.
- Collaborating with data scientists and analysts to understand their data requirements and build solutions that meet those needs.
- Identifying and resolving performance and scalability issues in the data processing infrastructure.
- Conducting research on emerging technologies and data processing techniques.
- Creating and maintaining documentation on data processing systems and procedures.
Skills:
- Strong programming skills in languages such as Java, Python, and SQL.
- Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
- Knowledge of data modelling and database design principles.
- Experience with data pipeline and ETL (Extract, Transform, Load) tools such as Apache NiFi and Apache Kafka.
- Familiarity with cloud computing platforms such as Amazon Web Services (AWS) or Microsoft Azure.
- Understanding of data security and compliance regulations such as GDPR and POPIA.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Personal Requirements
- Detail-oriented and thorough in their work.
- Comfortable working independently and in a team environment.
- Curious and interested in staying up to date with new technologies and techniques.
- Able to handle pressure and meet deadlines.
- Good at communicating complex technical concepts to non-technical stakeholders.
A Big Data Engineer/Architect plays a critical role in designing and implementing big data solutions that enable organisations to extract insights from their data. They need to have strong programming and big data technology skills, as well as knowledge of data modelling, security, and compliance. They also need to have excellent problem-solving and analytical skills, strong communication skills, and be comfortable working in a fast-paced, deadline-driven environment. With the right qualifications and experience, a Big Data Engineer/Architect can expect to have a challenging and rewarding career the growing data industry.
How to Enter
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- At least 3-5 years of experience in a big data engineering or architecture role.
- Relevant certifications such as Cloudera Certified Administrator or AWS Certified Big Data - Specialty would be beneficial.
Programmes by Study Institutions
