Mastering Data Engineering

1 week ago


Ghaziabad, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

As a Data Engineer, you will be responsible for designing and developing large-scale data processing pipelines using Spark and Azure technologies.

  • Developing scalable data pipelines to efficiently process and transform data using Spark is a key responsibility.
  • Designing and developing a robust framework for generating PDF reports using Python and Spark involves leveraging various tools and technologies.
  • Utilizing Snowflake Spark SQL to perform aggregations on high volumes of data requires expertise in data querying and aggregations.
  • Developing stored procedures, views, indexes, triggers, and functions in Snowflake Database to maintain data and share with downstream applications through APIs demands proficiency in database management systems.
  • Leveraging Azure Databricks and Datalake for data processing and storage enables the efficient management of large datasets.
  • Developing APIs using Python's Flask framework to support front-end applications allows for seamless integration with various systems.
Required Skills and Qualifications:
  • Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes is essential.
  • Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy is required.
  • Experience with SQL, Snowflake, and Spark for data querying and aggregations is necessary.
  • Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake is desirable.


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