Senior Data Engineer

2 days ago

Kanpur, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 18,00,000 - ₹ 24,00,000
Data Engineering Leader

Job Description:

A data engineering leader is responsible for designing, implementing, and maintaining large-scale data processing systems using Azure Databricks.

  • Main Responsibilities:
  • Design and implement data pipelines to extract, transform, and load data from various sources into Azure Databricks.
  • Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from multiple sources into Azure Databricks.
  • Collaborate with cross-functional teams to identify business requirements and design data solutions that meet those needs.
  • Develop and maintain complex data models, including data warehouses and data marts, using Azure Databricks.
  • Perform data quality checks and ensure data accuracy and integrity in Azure Databricks.

About This Job

This is an exciting opportunity for a skilled data engineer to take on a leadership role and drive the development of data processing systems using Azure Databricks. As a data engineering leader, you will be responsible for designing and implementing data pipelines, developing and maintaining ETL processes, collaborating with cross-functional teams, and ensuring data quality and accuracy.

Benefits

The successful candidate will have the opportunity to work with a talented team of data engineers and scientists, contributing to the development of innovative data processing systems. You will also have access to ongoing training and professional development opportunities to enhance your skills and knowledge.

Requirements

To be considered for this role, you must have:

  1. Proven experience in data engineering, with a focus on designing and implementing large-scale data processing systems.
  2. Strong knowledge of Azure Databricks and its applications in data engineering.
  3. Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.
  4. Ability to perform data quality checks and ensure data accuracy and integrity.

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