Big Data Engineer job description
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What does a Big Data Engineer do?
The Big Data Engineer plays a crucial role in designing, developing, and maintaining a high-volume data processing system, contributing to the organization's data-driven strategies and innovations. This position ensures the effective flow and storage of big data for analytical use.
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What are the Key Responsibilities of Big Data Engineer
- Design and implement scalable, high-performance data processing systems.
- Develop, test, and maintain big data solutions to manage large data volumes.
- Work with data scientists and analysts to provide necessary reports and metrics.
- Troubleshoot and optimize data processes for better performance.
- Integrate new data sources into existing data warehouse.
- Ensure data accuracy and consistency across systems.
- Implement security and data protection protocols.
- Collaborate with cross-functional teams on data needs.
- Stay updated with new trends and technologies in big data.
What are the Skills and Requirements for a Big Data Engineer?
- Proficiency in big data technologies like Hadoop, Spark, or Kafka.
- Strong coding skills in languages like Python, Java, or Scala.
- Experience with data warehousing solutions like Redshift or Snowflake.
- Good understanding of data modeling and ETL processes.
- Ability to troubleshoot and solve complex data issues.
- Excellent communication and teamwork capabilities.
What are the KPIs to track for Big Data Engineer?
Performance indicators for the Big Data Engineer include accuracy of data processing, efficiency improvements in data pipeline workflows, and successful delivery of data solutions as per project timelines and objectives.
Data Accuracy
Ensure high levels of data accuracy and consistency.
Pipeline Efficiency
Enhancement of data processing speed and efficiency.
Solution Delivery
Timely delivery of data solutions supporting business objectives.
Reports to
Chief Data Officer
Collaborates with
Data Scientists, IT Infrastructure Team
Leads
Junior Data Engineers
Are any specific tools or software required for the Big Data Engineer role?
- Hadoop
- Spark
- Apache Kafka
- AWS Redshift
- Apache Hive
What is the qualification of Big Data Engineer?
Bachelor's degree in Computer Science, Engineering or related field; 3-5 years experience in big data environments.
