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Senior Big Data Engineer Lead
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The ideal candidate will have hands-on experience with Spark DataFrame and Hadoop ecosystem components, as well as knowledge of cloud technologies such as AWS, Azure, or GCP. Proficiency in PySpark (Spark SQL) is also required.
- Key Responsibilities:
- Lead technical implementation of data warehouse modernization projects.
- Design and develop applications on cloud technologies.
- Lead technical discussions with internal and external stakeholders.
- Resolve technical issues for the team.
- Ensure the team completes all tasks and activities as planned.
- Develop code.
The successful candidate will possess strong leadership skills, excellent communication abilities, and a passion for exploring new technologies. Additionally, they should be familiar with automation approaches, data ingestion, processing, and orchestration knowledge, as well as good knowledge of SQL, Shell script & Python.
