Azure Data Engineer ID 2506
Azure Data Engineer ID 2506
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6-8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Design develop and maintain data pipelines using PySpark and Azure Databricks to process and transform large datasets efficiently.
- Leverage Microsoft Azure Data Factory for data integration and orchestration tasks.
- Optimize and write complex SQL queries to ensure seamless data storage transformation and retrieval processes.
- Collaborate with crossfunctional teams to gather data requirements and deliver tailored solutions.
- Implement best practices in data engineering including performance tuning scalability and security.
- 6 to 8 years of experience in data engineering with handson expertise in PySpark Azure Databricks and SQL.
- Proficiency in Microsoft Azure particularly in Azure Data Factory and related tools.
- A proven ability to build optimize and manage scalable data pipelines and workflows.
- Strong analytical skills with a focus on problemsolving and troubleshooting in cloud environments.
- A solid understanding of data security governance and best practices.
- Handle complex datasets and implement data engineering solutions in cloud platforms.
- Work effectively in a collaborative team environment while also managing individual tasks independently.
- Adapt to new technologies and continuously seek opportunities to enhance technical skills.
- Communicate technical details clearly to stakeholders with varying levels of technical knowledge.
- Opportunities to work with cuttingedge cloud technologies and big data platforms.
- A supportive and inclusive environment that encourages professional growth and learning.
- Challenging projects that enhance your technical and problemsolving skills.
- Competitive compensation and benefits package aligned with industry standards.
As an Azure Data Engineer, you will: Design, develop, and maintain data pipelines using PySpark and Azure Databricks to process and transform large datasets efficiently. Leverage Microsoft Azure Data Factory for data integration and orchestration tasks. Optimize and write complex SQL queries to ensure seamless data storage, transformation, and retrieval processes. Collaborate with cross-functional teams to gather data requirements and deliver tailored solutions. Implement best practices in data engineering, including performance tuning, scalability, and security. What You Bring to the Table: 6 to 8 years of experience in data engineering, with hands-on expertise in PySpark, Azure Databricks, and SQL. Proficiency in Microsoft Azure, particularly in Azure Data Factory and related tools. A proven ability to build, optimize, and manage scalable data pipelines and workflows. Strong analytical skills with a focus on problem-solving and troubleshooting in cloud environments. A solid understanding of data security, governance, and best practices. You should possess the ability to: Handle complex datasets and implement data engineering solutions in cloud platforms. Work effectively in a collaborative team environment while also managing individual tasks independently. Adapt to new technologies and continuously seek opportunities to enhance technical skills. Communicate technical details clearly to stakeholders with varying levels of technical knowledge. What we bring to the table: Opportunities to work with cutting-edge cloud technologies and big data platforms. A supportive and inclusive environment that encourages professional growth and learning. Challenging projects that enhance your technical and problem-solving skills. Competitive compensation and benefits package aligned with industry standards.
Employment Type
Full Time
