- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives
- Interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Build algorithms and prototypes
- Combine raw information from different sources
- Explore ways to enhance data quality and reliability
- Identify opportunities for data acquisition
- Develop analytical tools and programs
- Collaborate with data scientists and architects on several projects
Bachelor's degree in computer science or computer engineering.At least 3 years of experience as a big data engineer.Expertise in data ingestion, processing, and storage solutions, with a strong background in distributed systems and scalable architectures.Setting up and managing big data infrastructures, including technologies like Hadoop, Spark, Kafka, Hive, and Presto.