Azure Data Engineer (Databricks and Spark)
Required Skills and
Qualifications:
Requirements:
Proven experience as a Data Engineer with a focus on Azure cloud services.
Strong expertise in Spark and Databricks for big data processing.
Proficient in languages such as Python, Scala, or Java.
Experience with data modeling, ETL processes, and data warehousing.
Knowledge of Azure Data Factory, Azure Data Lake, and other related services.
Excellent problem-solving and communication skills.
Bachelor's degree in Computer Science, Information Technology, or related field.
Key
Responsibilities:
Design, develop, and maintain scalable data pipelines on Azure.
Implement data solutions using Spark and Data Bricks for efficient data processing.
Collaborate with cross-functional teams to understand data requirements and design suitable solutions.
Optimize and troubleshoot existing data pipelines for performance and reliability.
Ensure data security, integrity, and compliance with best practices.
Stay updated on the latest Azure technologies and recommend improvements to enhance data processing capabilities.
Preferred
Qualifications:
Azure certifications related to data engineering.
Familiarity with machine learning concepts and implementations.
Experience with streaming data solutions.
Azure Data Engineer (Databricks and Spark) Recommended Skills Apache Spark Azure Data Factory Big Data Communication Data Modeling Data Processing Estimated Salary: $20 to $28 per hour based on qualifications.
Qualifications:
Requirements:
Proven experience as a Data Engineer with a focus on Azure cloud services.
Strong expertise in Spark and Databricks for big data processing.
Proficient in languages such as Python, Scala, or Java.
Experience with data modeling, ETL processes, and data warehousing.
Knowledge of Azure Data Factory, Azure Data Lake, and other related services.
Excellent problem-solving and communication skills.
Bachelor's degree in Computer Science, Information Technology, or related field.
Key
Responsibilities:
Design, develop, and maintain scalable data pipelines on Azure.
Implement data solutions using Spark and Data Bricks for efficient data processing.
Collaborate with cross-functional teams to understand data requirements and design suitable solutions.
Optimize and troubleshoot existing data pipelines for performance and reliability.
Ensure data security, integrity, and compliance with best practices.
Stay updated on the latest Azure technologies and recommend improvements to enhance data processing capabilities.
Preferred
Qualifications:
Azure certifications related to data engineering.
Familiarity with machine learning concepts and implementations.
Experience with streaming data solutions.
Azure Data Engineer (Databricks and Spark) Recommended Skills Apache Spark Azure Data Factory Big Data Communication Data Modeling Data Processing Estimated Salary: $20 to $28 per hour based on qualifications.
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