Job Description

1. Design, develop, and maintain ETL pipelines and data workflows .
2. Work with structured and unstructured data from multiple sources.
3. Collaborate with data scientists, analysts, and business teams to provide clean and reliable data .
4. Optimize data storage, retrieval, and processing for large datasets.
5. Implement data quality checks and validation processes .
6. Work with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
7. Handle big data technologies like Hadoop, Spark, or Kafka (optional based on project).
8. Deploy data pipelines on cloud platforms such as AWS, Azure, or GCP.
9. Monitor pipeline performance and troubleshoot data-related issues.
10. Document data architecture, ETL processes, and workflow pipelines.

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