Job Description
About the Company
We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, PySpark, Python, and SQL. The ideal candidate will design, build, and optimize scalable data pipelines and solutions on Azure, enabling advanced analytics and business intelligence across enterprise systems.
About the Role
We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, PySpark, Python, and SQL. The ideal candidate will design, build, and optimize scalable data pipelines and solutions on Azure, enabling advanced analytics and business intelligence across enterprise systems.
Responsibilities
Design and develop data pipelines using Azure Databricks and PySpark. Implement ETL/ELT processes to ingest, transform, and load data from multiple sources. Write efficient Python and SQL scripts for data processing, cleansing, and validation. Collaborate with data architects, analysts, and business stakeholders to deliver high‑quality solutions. Optimize performance of large‑scale data processing jobs. Ensure data quality, security, and compliance with organizational standards. Support deployment, monitoring, and troubleshooting of data workflows in production.
Qualifications
Strong hands‑on experience with Azure Databricks and PySpark. Proficiency in Python programming for data engineering tasks. Advanced SQL skills for querying and performance tuning. Experience with Azure Data Lake, Azure Synapse, and related Azure services. Solid understanding of data warehousing concepts, ETL frameworks, and big data processing.
Required Skills
Azure Databricks PySpark Python SQL
Preferred Skills
Experience with Azure Data Lake Experience with Azure Synapse
Pay range and compensation package
Full-Time
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, PySpark, Python, and SQL. The ideal candidate will design, build, and optimize scalable data pipelines and solutions on Azure, enabling advanced analytics and business intelligence across enterprise systems.
About the Role
We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, PySpark, Python, and SQL. The ideal candidate will design, build, and optimize scalable data pipelines and solutions on Azure, enabling advanced analytics and business intelligence across enterprise systems.
Responsibilities
Design and develop data pipelines using Azure Databricks and PySpark. Implement ETL/ELT processes to ingest, transform, and load data from multiple sources. Write efficient Python and SQL scripts for data processing, cleansing, and validation. Collaborate with data architects, analysts, and business stakeholders to deliver high‑quality solutions. Optimize performance of large‑scale data processing jobs. Ensure data quality, security, and compliance with organizational standards. Support deployment, monitoring, and troubleshooting of data workflows in production.
Qualifications
Strong hands‑on experience with Azure Databricks and PySpark. Proficiency in Python programming for data engineering tasks. Advanced SQL skills for querying and performance tuning. Experience with Azure Data Lake, Azure Synapse, and related Azure services. Solid understanding of data warehousing concepts, ETL frameworks, and big data processing.
Required Skills
Azure Databricks PySpark Python SQL
Preferred Skills
Experience with Azure Data Lake Experience with Azure Synapse
Pay range and compensation package
Full-Time
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
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