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Job Description
Data Engineer – Python | SQL | Databricks | Azure Cloud
Experience: 5+ Years
Location: [Insert Location]
Notice Period: Immediate to 30 Days Preferred
Job Description
We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, Databricks, and Azure Cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines, optimizing large-scale data processing, and developing cloud-based analytics solutions.
Key Responsibilities
[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]
Example: Excellent verbal and written communication skills
Data Engineer – Python | SQL | Databricks | Azure Cloud
Experience: 5+ Years
Location: [Insert Location]
Notice Period: Immediate to 30 Days Preferred
Preferred Qualifications
We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, Databricks, and Azure Cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines, optimizing large-scale data processing, and developing cloud-based analytics solutions.
Key Responsibilities
We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, Databricks, and Azure Cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines, optimizing large-scale data processing, and developing cloud-based analytics solutions.
Key Responsibilities
Experience: 5+ Years
Location: [Insert Location]
Notice Period: Immediate to 30 Days Preferred
Job Description
We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, Databricks, and Azure Cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines, optimizing large-scale data processing, and developing cloud-based analytics solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure cloud services.
- Develop and optimize data processing workflows using Databricks and PySpark.
- Write efficient Python scripts and complex SQL queries for data transformation and analysis.
- Build and manage data solutions using Azure Data Factory (ADF), Azure Databricks, and ADLS.
- Perform data ingestion from multiple structured and unstructured data sources.
- Optimize Spark jobs and SQL queries for performance and scalability.
- Collaborate with data analysts, business teams, and stakeholders for data requirements and reporting needs.
- Implement data quality checks, monitoring, and troubleshooting mechanisms.
- Support data warehousing, lakehouse, and cloud migration initiatives.
- Ensure best practices for data governance, security, and compliance.
- 5+ years of experience in Data Engineering or related roles.
- Strong hands-on expertise in Python and SQL.
- Extensive experience with Azure Databricks and PySpark.
- Strong working knowledge of Azure Cloud services.
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure Databricks
- Synapse Analytics
- Azure SQL Database
- Key Vault / Logic Apps (preferred)
- Strong understanding of ETL/ELT concepts and data pipeline development.
- Experience with Spark performance tuning and optimization techniques.
- Good understanding of data warehousing and dimensional modeling concepts.
- Experience handling large-scale batch and streaming data pipelines.
- Familiarity with Git, CI/CD pipelines, and Agile methodologies.
- Experience with Delta Lake and Lakehouse architecture.
- Exposure to Power BI or other reporting tools.
- Knowledge of Airflow or workflow orchestration tools.
- Azure Certification is an added advantage.
- Experience working in distributed data environments.
- Exposure to real-time data processing frameworks like Kafka/Event Hub.
- Understanding of DevOps and Infrastructure as Code concepts.
[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]
Example: Excellent verbal and written communication skills
Data Engineer – Python | SQL | Databricks | Azure Cloud
Experience: 5+ Years
Location: [Insert Location]
Notice Period: Immediate to 30 Days Preferred
Preferred Qualifications
- Experience with Delta Lake and Lakehouse architecture.
- Exposure to Power BI or other reporting tools.
- Knowledge of Airflow or workflow orchestration tools.
- Azure Certification is an added advantage.
- Experience working in distributed data environments.
- Exposure to real-time data processing frameworks like Kafka/Event Hub.
- Understanding of DevOps and Infrastructure as Code concepts.
- Data Engineer – Python | SQL | Databricks | Azure Cloud Experience: 5+ Years Location: [Insert Location] Notice Period: Immediate to 30 Days Preferred
We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, Databricks, and Azure Cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines, optimizing large-scale data processing, and developing cloud-based analytics solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure cloud services.
- Develop and optimize data processing workflows using Databricks and PySpark.
- Write efficient Python scripts and complex SQL queries for data transformation and analysis.
- Build and manage data solutions using Azure Data Factory (ADF), Azure Databricks, and ADLS.
- Perform data ingestion from multiple structured and unstructured data sources.
- Optimize Spark jobs and SQL queries for performance and scalability.
- Collaborate with data analysts, business teams, and stakeholders for data requirements and reporting needs.
- Implement data quality checks, monitoring, and troubleshooting mechanisms.
- Support data warehousing, lakehouse, and cloud migration initiatives.
- Ensure best practices for data governance, security, and compliance.
- 5+ years of experience in Data Engineering or related roles.
- Strong hands-on expertise in Python and SQL.
- Extensive experience with Azure Databricks and PySpark.
- Strong working knowledge of Azure Cloud services.
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure Databricks
- Synapse Analytics
- Azure SQL Database
- Key Vault / Logic Apps (preferred)
- Strong understanding of ETL/ELT concepts and data pipeline development.
- Experience with Spark performance tuning and optimization techniques.
- Good understanding of data warehousing and dimensional modeling concepts.
- Experience handling large-scale batch and streaming data pipelines.
- Familiarity with Git, CI/CD pipelines, and Agile methodologies.
- Experience with Delta Lake and Lakehouse architecture.
- Exposure to Power BI or other reporting tools.
- Knowledge of Airflow or workflow orchestration tools.
- Azure Certification is an added advantage.
- Experience working in distributed data environments.
- Exposure to real-time data processing frameworks like Kafka/Event Hub.
- Understanding of DevOps and Infrastructure as Code concepts.
- Data Engineer – Python | SQL | Databricks | Azure Cloud Experience: 5+ Years Location: [Insert Location] Notice Period: Immediate to 30 Days Preferred
We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, Databricks, and Azure Cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines, optimizing large-scale data processing, and developing cloud-based analytics solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure cloud services.
- Develop and optimize data processing workflows using Databricks and PySpark.
- Write efficient Python scripts and complex SQL queries for data transformation and analysis.
- Build and manage data solutions using Azure Data Factory (ADF), Azure Databricks, and ADLS.
- Perform data ingestion from multiple structured and unstructured data sources.
- Optimize Spark jobs and SQL queries for performance and scalability.
- Collaborate with data analysts, business teams, and stakeholders for data requirements and reporting needs.
- Implement data quality checks, monitoring, and troubleshooting mechanisms.
- Support data warehousing, lakehouse, and cloud migration initiatives.
- Ensure best practices for data governance, security, and compliance.
- 5+ years of experience in Data Engineering or related roles.
- Strong hands-on expertise in Python and SQL.
- Extensive experience with Azure Databricks and PySpark.
- Strong working knowledge of Azure Cloud services.
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Azure Databricks
- Synapse Analytics
- Azure SQL Database
- Key Vault / Logic Apps (preferred)
- Strong understanding of ETL/ELT concepts and data pipeline development.
- Experience with Spark performance tuning and optimization techniques.
- Good understanding of data warehousing and dimensional modeling concepts.
- Experience handling large-scale batch and streaming data pipelines.
- Familiarity with Git, CI/CD pipelines, and Agile methodologies.
- Experience with Delta Lake and Lakehouse architecture.
- Exposure to Power BI or other reporting tools.
- Knowledge of Airflow or workflow orchestration tools.
- Azure Certification is an added advantage.
- Experience working in distributed data environments.
- Exposure to real-time data processing frameworks like Kafka/Event Hub.
- Understanding of DevOps and Infrastructure as Code concepts.
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