High-Performance Financial Data Specialist

4 days ago

Erode, Tamil Nadu, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 20,00,000
Big Data Engineer Position

Our organization is seeking a highly skilled Big Data Engineer to assume the responsibility of designing, building, and maintaining robust data pipelines that handle high-volume financial data. This includes stocks, cryptocurrencies, and third-party data sources.

The successful candidate will play a critical role in ensuring data integrity, scalability, and real-time availability across our platforms.

  • Data Pipeline Design: The ideal candidate will be responsible for designing, developing, and managing end-to-end data pipelines for stocks, crypto, and other financial datasets.
  • API Integration: He or she will integrate third-party APIs and data feeds into internal systems.
  • Data Ingestion and Storage: The successful candidate will build and optimize data ingestion, storage, and transformation workflows (batch and real-time).
  • Data Quality and Consistency: Ensuring data quality, consistency, and reliability across all pipelines is essential.
  • Collaboration: Collaboration with data scientists, analysts, and backend engineers is crucial to provide clean, structured, and scalable datasets.
  • Pipeline Performance: Monitoring, troubleshooting, and optimizing pipeline performance are key responsibilities.
  • Security and Governance: Implementing ETL/ELT best practices, data governance, and security protocols is necessary.
  • Data Infrastructure: Contributing to the scalability and automation of our data infrastructure is expected.
Requirements
  • Experience: Proven experience as a Big Data Engineer / Data Engineer, preferably in financial or crypto domains.
  • Skills: Strong expertise in Python, SQL, and distributed data systems.
  • Tools: Hands-on experience with data pipeline tools (e.g., Apache Spark, Kafka, Airflow, Flink, Prefect) is required.
  • Cloud Platforms: Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift, etc.) is preferred.
  • API Integrations: Knowledge of API integrations and handling real-time streaming data is necessary.
  • Databases: Familiarity with databases (relational and NoSQL) and data modeling is required.
  • Financial Data: A solid understanding of stocks, cryptocurrencies, and financial data structures is desired.
  • Problem-Solving Skills: Strong problem-solving skills with the ability to handle large-scale data challenges are essential.

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