
Financial Data Pipeline Specialist
4 days ago
We are seeking a highly skilled data engineer to take on the challenge of designing and building robust data pipelines that handle high-volume financial data.
Key Responsibilities:- Design and develop end-to-end data pipelines for stocks, cryptocurrencies, 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.
As a key member of our team, you will play a critical role in ensuring data integrity, scalability, and real-time availability across our platforms.
Requirements:- Proven experience as a Big Data Engineer or 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.
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