Azure Data Engineer

Hexaware Technologies

Hyderabad

Hybrid

INR 1,200,000 - 1,800,000

Full time

5 days ago
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Job summary

Hexaware Technologies in Hyderabad is seeking an Azure Databricks (ADB) & PySpark specialist to develop and maintain data pipelines, design ETL/ELT processes, and optimize Spark jobs for large-scale data processing.

You will work with structured and unstructured data, integrate with Delta Lake and Data Lake concepts, and collaborate with Azure services including Azure Data Factory.

Responsibilities

  • Develop and maintain data pipelines using Azure Databricks and PySpark.
  • Design, build, and optimize ETL/ELT processes for large-scale data processing.
  • Work with structured and unstructured data from multiple sources.
  • Develop data transformation and validation logic using PySpark.
  • Integrate Azure Databricks with Azure Data Factory and other Azure services.
  • Optimize Spark jobs for performance and scalability.
  • Troubleshoot and resolve data processing issues.
  • Collaborate with business stakeholders, analysts, and data engineering teams.
  • Follow best practices for coding, testing, and deployment.

Job description

Job Description Azure Databricks (ADB) & PySpark

Responsibilities
  • Develop and maintain data pipelines using Azure Databricks and PySpark.
  • Design, build, and optimize ETL/ELT processes for large-scale data processing.
  • Work with structured and unstructured data from multiple sources.
  • Develop data transformation and validation logic using PySpark.
  • Integrate Azure Databricks with Azure Data Factory and other Azure services.
  • Optimize Spark jobs for performance and scalability.
  • Troubleshoot and resolve data processing issues.
  • Collaborate with business stakeholders, analysts, and data engineering teams.
  • Follow best practices for coding, testing, and deployment.
Required Skills
  • Strong hands-on experience with Azure Databricks and PySpark.
  • Good knowledge of SQL and data warehousing concepts.
  • Experience with Azure Data Factory (ADF).
  • Understanding of Spark architecture and performance tuning.
  • Experience working with Delta Lake and Data Lake concepts.
  • Knowledge of Git and CI/CD processes.
  • Strong analytical and problem-solving skills.
Good to Have
  • Experience with Azure Synapse Analytics.
  • Exposure to Power BI.
  • Knowledge of Python and cloud-based data engineering practices.
  • Experience in Banking, Finance, or Retail domains.
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