Azure Databricks Developer

4 days ago

Remote, India Codash Solutions Full time ₹ 10,00,000 - ₹ 12,00,000 per year

Role Overview:

We are looking for a seasoned Azure Databricks developer with strong experience in

building and optimizing data pipelines, preferably on Azure. The candidate should be

proficient in Databricks, Spark, and Python, and capable of designing scalable data

solutions for big data analytics.

Key Responsibilities:

* Design, develop, and maintain ETL pipelines using Azure Databricks

notebooks and workflows.

* Perform big data processing and analytics using Spark on the Databricks

platform.

* Write optimized and efficient code using PySpark, SparkSQL, and Python.

* Implement and enhance data transformation and integration pipelines.

* Manage secrets and credentials securely using Key Vault and Databricks

secret scopes

* Write and debug complex SQL queries (preferably PL/SQL and Spark SQL)

for data retrieval and analysis.

* Troubleshoot and resolve issues related to Python, PySpark, and SQL.

* Collaborate with cross-functional teams to understand data requirements and

deliver solutions.

* Use Git for version control and manage CI/CD pipelines for automated

deployments.

Required Skills:

* Strong experience with Azure cloud services and cloud-native data

engineering.

* Proficiency in Databricks, Spark, PySpark, and SparkSQL.

* Solid understanding of SQL variants, especially PL/SQL.

* Experience with Git and CI/CD tools and practices.

* Excellent problem-solving, communication, and collaboration skills.

Job Type: Contractual / Temporary

Contract length: 6-12 months

Pay: ₹90, ₹100,000.00 per month

Benefits:

  • Work from home

Application Question(s):

  • Do you have Strong experience with Azure cloud services and cloud-native data

engineering ?

  • Do you have Solid understanding of SQL variants, especially PL/SQL ?
  • Do you have Experience with Git and CI/CD tools and practices ?

Experience:

  • Azure Databricks Developer: 3 years (Required)

Work Location: Remote

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