Databricks Data Engineer

5 days ago

Remote, India Adastra Corporation Full time ₹ 1,50,000 - ₹ 20,00,000 per year

Job Description

As a Databricks Data Engineer, you will be responsible for:

· Technical Requirements Gathering and Development of Functional Specifications.

· Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services.

· Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks.

· Develop and integrate custom machine learning models using Azure Machine Learning, MLflow, and other relevant libraries.

· Leverage Azure DevOps and CI/CD best practices to automate the deployment and management of data pipelines and infrastructure.

· Conducting troubleshooting on data models.

· Work with the Agile multicultural teams in Asia, the EU, Canada, and the USA.

Profile Requirements

For this position as Databricks Data Engineer, we are looking for someone with:

· (Required) At least 6 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark.

· (Required) Hands-on experience with Unity Catalog

· (Required) Fluent English communication and soft skills.

· (Required) Knowledge and Experience in CICD such as Terraform, ARM, and Bicep Script.

· (Required) Solid technical skills in Python, and SQL

· (Required) Familiarity with machine learning concepts, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, MLflow)

· (Required) Strong problem-solving, communication, and analytical skills.

· Willingness to learn and expand technical skills in other areas.

Job Type: Full-time

Pay: ₹1,500, ₹2,000,000.00 per year

Benefits:

  • Flexible schedule
  • Health insurance
  • Paid time off
  • Provident Fund
  • Work from home

Application Question(s):

  • What is your current CTC in Lacs per annum?
  • What is your notice period?
  • What is your expected CTC in Lacs per annum?
  • You're familiar with which Machine Learning Tools?

Experience:

  • Azure Databricks: 6 years (Required)
  • Azure Data Factory: 6 years (Required)
  • Unity Catalog: 4 years (Required)

Work Location: Remote

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