About the role
Job Title: Hadoop
Must Have & Good to Have:
- Strong experience in programming languages such as Python, Java, orScala 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 AmazonRedshift, 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