Data Pipeline Specialist

1 day ago


Vadodara, Gujarat, India beBeeEngineer Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

**Data Engineering Role**

As a skilled Data Engineer, you will design and build robust data pipelines to process high-volume financial data.

**Key Responsibilities:**

  • Design and develop end-to-end data pipelines for stocks, crypto, and other financial datasets.
  • Integrate third-party APIs and data feeds into internal systems.
  • Develop 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 engineers to provide clean, structured, and scalable datasets.
  • Monitor, troubleshoot, and optimize pipeline performance.
  • Implement ETL/ELT best practices, data governance, and security protocols.
  • Contribute to the scalability and automation of our data infrastructure.

**Requirements:**

  • Proven experience as a 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.

**About the Role**

This is an exciting opportunity to work on cutting-edge data engineering projects. You will have the chance to design and implement innovative solutions to complex problems.

**What We Offer**

We offer a dynamic and collaborative work environment, competitive compensation, and opportunities for professional growth and development.



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