Senior Data Engineering Professional

2 days ago

Belgaum, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

As a seasoned professional in data engineering, you will have the opportunity to work on cutting-edge projects and collaborate with a talented team of professionals.

The ideal candidate will possess a strong background in data engineering, data architecture, and data integration. With over 6 years of experience as a Data Engineer or in a similar role, you will be able to design and implement data pipelines using Databricks, Data Factory, and other tools.

A strong understanding of data architecture, data modelling, and ETL processes is also required. Additionally, proficiency in SQL, Python, R, or Scala is essential for success in this role.

In order to ensure seamless delivery of projects, close collaboration with cross-functional teams is crucial. Maintaining high standards of data quality and integrity is also vital.

To identify business requirements and develop solutions, collaboration with stakeholders is necessary. Furthermore, excellent problem-solving and analytical skills are essential.

This position requires over 6 years of experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, R, or Scala is also mandatory. Experience with data pipeline, ETL, and workflow management tools is also required.

Bachelor's or Master's degree in computer science, data science, software engineering, information systems, or a similar field is required. Certification in cloud data technologies and knowledge of DevOps tools and practices are highly desirable.

Responsibilities:

  • Design and implement data pipelines
  • Develop and maintain databases
  • Work closely with cross-functional teams
  • Maintain high standards of data quality and integrity
  • Collaborate with stakeholders to identify business requirements and develop solutions

Requirements:

  • Over 6 years of experience as a Data Engineer or in a similar role
  • Proficiency in SQL, Python, R, or Scala
  • Experience with data pipeline, ETL, and workflow management tools
  • Strong understanding of data architecture, data modelling, and ETL processes
  • Excellent problem-solving and analytical skills

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