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1 week ago
A Data Pipeline Architect is required to lead the design and development of robust data pipelines that handle high-volume financial data.
This role involves collaborating with cross-functional teams to deliver scalable, reliable, and secure data solutions.
Key Responsibilities:- Design and develop end-to-end data pipelines for 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.
- Proven experience as a Big Data Engineer or Data Engineer in financial domains.
- Strong expertise in Python, SQL, and distributed data systems.
- Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink).
- Experience with cloud platforms (AWS, GCP) and data warehousing (Snowflake, BigQuery).
- Familiarity with databases (relational and NoSQL) and data modeling.
Excellent problem-solving skills and ability to handle large-scale data challenges are essential.
Benefits:This role offers opportunities for career growth and professional development.
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