Cloud Data Engineer

1 day ago

Coimbatore, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Cloud Data Engineer Position

We are looking for a highly skilled and experienced Cloud Data Engineer to join our team. As a key member of our data engineering team, you will play a crucial role in designing, implementing, and optimizing data pipelines using cloud-based technologies.

Your primary responsibility will be to develop, maintain, and optimize scalable and efficient data pipelines using Python and cloud-based technologies. This includes designing, implementing, and managing Extract, Transform, Load (ETL) processes to move data from diverse sources into our cloud-based data warehouse.

You will also be responsible for collaborating with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements. Additionally, you will ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.

We are seeking a candidate with extensive experience in cloud technologies, including at least one major cloud platform such as AWS, Azure, or Google Cloud. You should have a strong understanding of data engineering principles, including distributed data processing, workflow management tools like Apache Airflow, and cloud-native services for data processing, storage, and analytics.

The ideal candidate will possess excellent problem-solving and critical-thinking abilities, with strong communication skills both written and verbal. You should be able to work collaboratively in a cross-functional team environment, with attention to detail and a commitment to delivering high-quality solutions.

If you are passionate about leveraging cloud technologies for data engineering and have the required technical skills, we encourage you to apply. Please submit your resume and a cover letter highlighting your technical expertise and relevant experience.

  • Responsibilities:
  • Design, implement, and optimize data pipelines using Python and cloud-based technologies.
  • Develop, maintain, and optimize scalable and efficient ETL processes.
  • Collaborate with data scientists, analysts, and other stakeholders to design effective data models.
  • Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.
  • Implement monitoring solutions and troubleshoot issues in data pipelines.
  • Experience with version control systems, collaboration tools, and agile methodologies is preferred.
Requirements:
  • Extensive experience in cloud technologies, including at least one major cloud platform.
  • Strong understanding of data engineering principles, including distributed data processing, workflow management tools, and cloud-native services.
  • Excellent problem-solving and critical-thinking abilities.
  • Strong communication skills both written and verbal.
  • Ability to work collaboratively in a cross-functional team environment.
  • Attention to detail and a commitment to delivering high-quality solutions.
Benefits:
  • A competitive salary and benefits package.
  • A collaborative and dynamic work environment.
  • Opportunities for professional growth and development.
About Us:

We are a leading company in the field of data engineering, dedicated to providing innovative solutions to our clients. We value our employees and strive to create a positive and productive work environment.

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