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2 days ago
We are seeking a highly skilled professional to design, build, and maintain robust data pipelines that handle high-volume financial data. This role requires expertise in designing, developing, and managing end-to-end data pipelines for stocks, crypto, and other financial datasets.
- Design and develop scalable data ingestion, storage, and transformation workflows (batch and real-time) using distributed data systems.
- Integrate third-party APIs and data feeds into internal systems to provide clean, structured, and scalable datasets.
- Collaborate with cross-functional teams to implement ETL/ELT best practices, data governance, and security protocols.
- Contribute to the scalability and automation of our data infrastructure by monitoring, troubleshooting, and optimizing pipeline performance.
Requirements:
- Proven experience as a Big Data Engineer / Data Engineer preferably in financial or crypto domains.
- Strong expertise in Python, SQL, and NoSQL databases.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.).
- Familiarity with API integrations and handling real-time streaming data.
- Solid understanding of stocks, cryptocurrencies, and financial data structures.
- Strong problem-solving skills with the ability to handle large-scale data challenges.
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