Skills:
- Big Data Tools: Proficiency in Hadoop, Apache Spark, and Kafka.
- Programming Languages: Skills in Java, Scala, and Python.
- Database Management: Experience with NoSQL databases like Cassandra, MongoDB, and HBase.
- Data Warehousing: Knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, and Snowflake.
- ETL Processes: Expertise in ETL (Extract, Transform, Load) tools and processes.
- Distributed Computing: Understanding of distributed computing concepts and frameworks.
- Cloud Platforms: Experience with cloud services like AWS, Azure, and Google Cloud Platform.