Hadoop Engineer
FULL_TIME
3 weeks ago
Employment Information
- Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks.
- Expertise in SQL and NoSQL databases.
- Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams.
- In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, and Snowflake for building and managing data warehouses.
- Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or Informatica.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying, managing, and scaling data infrastructure and services.
- Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
- Experience with version control systems such as Git for code management and collaboration.
- Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information
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