Data Engineer ID 2757
Data Engineer ID 2757
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6-8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Design develop and maintain scalable data pipelines and ETL processes.
- Work with data modeling and data warehousing concepts to support analytical needs.
- Develop and optimize SQL queries for efficient data retrieval and transformation.
- Implement and manage data solutions using Azure Data Factory dbt and Databricks.
- Leverage Power BI for data visualization and reporting.
- Ensure data integrity security and compliance across cloudbased environments.
- Collaborate with crossfunctional teams to define data requirements and business logic.
- 68 years of experience in data engineering data warehousing and ETL development.
- Strong proficiency in SQL and deep knowledge of data warehousing concepts.
- Experience in data modeling and designing scalable database architectures.
- Handson experience with Azure Data Factory dbt and Databricks.
- Familiarity with cloud platforms with a preference for Microsoft Azure.
- Ability to work with largescale datasets and optimize data workflows.
- Proficiency in Power BI for data visualization and analytics.
- Analyze business needs and translate them into scalable data solutions.
- Develop robust data pipelines and ETL workflows.
- Optimize SQL queries and database performance.
- Work in an agile environment handling multiple tasks efficiently.
- Communicate effectively with stakeholders and technical teams.
- Opportunity to work with cuttingedge Azure data technologies.
- Collaborative and innovative work culture.
- Exposure to largescale data engineering projects.
- Career growth and professional development opportunities.
As a Data Engineer, you will: Design, develop, and maintain scalable data pipelines and ETL processes. Work with data modeling and data warehousing concepts to support analytical needs. Develop and optimize SQL queries for efficient data retrieval and transformation. Implement and manage data solutions using Azure Data Factory, dbt, and Databricks. Leverage Power BI for data visualization and reporting. Ensure data integrity, security, and compliance across cloud-based environments. Collaborate with cross-functional teams to define data requirements and business logic. What You Bring to the Table: 6-8 years of experience in data engineering, data warehousing, and ETL development. Strong proficiency in SQL and deep knowledge of data warehousing concepts. Experience in data modeling and designing scalable database architectures. Hands-on experience with Azure Data Factory, dbt, and Databricks. Familiarity with cloud platforms, with a preference for Microsoft Azure. Ability to work with large-scale datasets and optimize data workflows. Proficiency in Power BI for data visualization and analytics. You Should Possess the Ability to: Analyze business needs and translate them into scalable data solutions. Develop robust data pipelines and ETL workflows. Optimize SQL queries and database performance. Work in an agile environment, handling multiple tasks efficiently. Communicate effectively with stakeholders and technical teams. What We Bring to the Table: Opportunity to work with cutting-edge Azure data technologies. Collaborative and innovative work culture. Exposure to large-scale data engineering projects. Career growth and professional development opportunities.
Employment Type
Full Time
