Financial Data Solutions Specialist

2 days ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Big Data Engineer

As a Big Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines that handle high-volume financial data. This includes stocks, cryptocurrencies, and third-party data sources.

You will be responsible for designing, developing, and managing end-to-end data pipelines for various financial datasets. This includes integrating third-party APIs and data feeds into our internal systems, building and optimizing data ingestion, storage, and transformation workflows (batch and real-time), and ensuring data quality, consistency, and reliability across all pipelines.

Key Responsibilities:

  • Design, develop, and manage end-to-end data pipelines for various financial datasets.
  • Integrate third-party APIs and data feeds into our 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.

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 like Apache Spark, Kafka, Airflow, Flink, and 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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