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Big Data Engineer
3 weeks ago
Lead the development and implementation of scalable data pipelines using Hadoop ecosystem tools.
- Design, build, and maintain ETL/ELT pipelines for efficient data processing.
- Write complex Hive queries to transform and analyze large datasets.
- Collaborate with cross-functional teams to deliver solutions that meet business requirements.
- Develop UNIX shell scripts for automation of jobs and workflows.
- Optimize SQL queries for performance and scalability.
- Bachelor's degree in Computer Science or related field.
- 3–7 years of hands-on experience with Big Data tools.
- Strong expertise in Hadoop Distributed File System (HDFS), Hive, SQL, UNIX/Linux shell scripting, and data warehousing concepts.
We are looking for a highly skilled professional to join our team as a Big Data Engineer. The ideal candidate will have excellent problem-solving skills, strong technical expertise, and the ability to work collaboratively in a fast-paced environment.
The successful candidate will be responsible for designing, developing, and implementing scalable data pipelines using Hadoop ecosystem tools. This includes writing complex Hive queries, developing UNIX shell scripts, and optimizing SQL queries for performance and scalability.
In addition to technical expertise, the ideal candidate will possess excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams to deliver solutions that meet business requirements.
This is an exciting opportunity to join a dynamic team and contribute to the development of innovative data-driven solutions.
