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2 weeks ago
We are seeking an experienced Data Pipeline Architect to join our team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that handle high-volume financial data, including stocks, cryptocurrencies, and third-party data sources.
About the Role:
- Design, develop, and manage end-to-end data pipelines for stocks, crypto, and other financial datasets.
- Integrate third-party APIs and data feeds into internal systems.
- Build and optimize data ingestion, storage, and transformation workflows (batch and real-time).
- Ensure data quality, consistency, and reliability across all pipelines.
- Collaborate with data scientists, analysts, and backend engineers to provide clean, structured, and scalable datasets.
- Monitor, troubleshoot, and optimize pipeline performance.
- Implement ETL/ELT best practices, data governance, and security protocols.
Key Requirements:
- Proven experience as a Big Data Engineer / Data Engineer (preferably in financial or crypto domains).
- Strong expertise in Python, SQL, and distributed data systems.
- Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink, Prefect).
- Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.).
- Knowledge of API integrations and handling real-time streaming data.
- Familiarity with databases (relational and NoSQL) and data modeling.
- Solid understanding of stocks, cryptocurrencies, and financial data structures (preferred).
- Strong problem-solving skills with the ability to handle large-scale data challenges.
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