Overview
Job Description
Overview:
We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.
Must-Have Skills:
Azure Databricks
PySpark
Azure Synapse Analytics
Key Responsibilities:
Design, develop, and support data pipelines and solutions using Azure data engineering services.
Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.
Orchestrate and automate workflows across services and systems.
Collaborate with business and technical teams to deliver robust and scalable data solutions.
Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
Contribute to CI/CD pipeline implementation using Azure DevOps.
Technical Requirements:
3 to 6 years of experience in IT and Azure data engineering technologies.
Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
Proficient in Python, PySpark, and SQL.
Experience with file formats such as JSON and Parquet.
Working knowledge of database systems, with a preference for Teradata and Snowflake.
Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
Understanding of Data Warehousing concepts and data modeling best practices.
Familiarity with SNOW (ServiceNow) for incident and change management.
Non-Technical Requirements:
Ability to work independently and collaboratively in virtual teams across geographies.
Strong analytical and problem-solving skills.
Experience in Agile development practices, including estimation, testing, and deployment.
Effective task and time management with the ability to prioritize under pressure.
Clear communication and documentation skills for project updates and technical processes.
Technologies:
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
PySpark / SQL
Azure Data Lake Storage (ADLS), Blob Storage
Azure DevOps (CI/CD pipelines)
Nice-to-Have:
Experience with Business Intelligence tools, preferably Power BI
DP-203 certification (Azure Data Engineer Associate)
Overview:
We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.
Must-Have Skills:
Azure Databricks
PySpark
Azure Synapse Analytics
Key Responsibilities:
Design, develop, and support data pipelines and solutions using Azure data engineering services.
Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.
Orchestrate and automate workflows across services and systems.
Collaborate with business and technical teams to deliver robust and scalable data solutions.
Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
Contribute to CI/CD pipeline implementation using Azure DevOps.
Technical Requirements:
3 to 6 years of experience in IT and Azure data engineering technologies.
Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
Proficient in Python, PySpark, and SQL.
Experience with file formats such as JSON and Parquet.
Working knowledge of database systems, with a preference for Teradata and Snowflake.
Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
Understanding of Data Warehousing concepts and data modeling best practices.
Familiarity with SNOW (ServiceNow) for incident and change management.
Non-Technical Requirements:
Ability to work independently and collaboratively in virtual teams across geographies.
Strong analytical and problem-solving skills.
Experience in Agile development practices, including estimation, testing, and deployment.
Effective task and time management with the ability to prioritize under pressure.
Clear communication and documentation skills for project updates and technical processes.
Technologies:
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
PySpark / SQL
Azure Data Lake Storage (ADLS), Blob Storage
Azure DevOps (CI/CD pipelines)
Nice-to-Have:
Experience with Business Intelligence tools, preferably Power BI
DP-203 certification (Azure Data Engineer Associate)
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