Data Engineer
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Key skills for this role
About the Role
Qatar Airways is seeking a Data Engineer to build scalable data pipelines and manage data warehouses. The role involves developing software for data ingestion, cleansing, and harmonization, and supporting analytics teams.
Key Skills for This Role
Responsibilities
- Construct, deploy, test and maintain highly scalable and optimized data pipelines with state of the art monitoring and logging practices
- Develop software programs or use tools to bring together large, complex and sparse data sets to meet functional and non functional business requirements
- Design and implement data tools for analytics and data scientist team members to help them in building, optimizing and tuning of use cases
- Develop and manage data warehouses to ensure the availability, performance, scalability and security of production data warehouse
- Develop software programs or use tools for cleansing and harmonization of data from a variety of data sources
Requirements
- Bachelor’s Degree in IT with Minimum 4 years of job related experience
- Hands on experience in working with big data using Google Cloud, cloud based data engineering solutions
- Hands on experience with data ingestion tools, data modelling, data visualization, and pipeline design & development
- Hands on experience with Big Query data warehouse platforms
- Strong technical knowledge of performance tuning and query optimization on large data sets
- Experience with ETL tool, data virtualization, semantic layer tool
- Experience with visualization tools Tableau, Power BI
Full Job Posting
Job Purpose
- Responsible for creating reliable software programs for building highly scalable data pipelines to collect a large amount of data from different sources and transform it into a usable format for analysis.
Key Responsibilities
- Construct, deploy, test and maintain highly scalable and optimized data pipelines with state of the art monitoring and logging practices.
- Develop software programs or use tools to bring together large, complex and sparse data sets to meet functional and non functional business requirements and use a variety of languages, tools and frameworks to marry data.
- Design and implement data tools for analytics and data scientist team members to help them in building, optimizing and tuning of use cases.
- Develop and manage data warehouses to ensure the availability, performance, scalability and security of production data warehouse.
- Develop software programs or use tools for cleansing and harmonization of data from a variety of data sources.
Qualification
- Bachelor’s Degree in IT with Minimum 4 years of job related experience
- Hands on experience in working with big data using Google Cloud, cloud based data engineering solutions
- Hands on experience with data ingestion tools, data modelling, data visualization, and pipeline design & development
- Hands on experience with Big Query data warehouse platforms
- Strong technical knowledge of performance tuning and query optimization on large data sets.
- Experience with ETL tool, data virtualization, semantic layer tool
- Experience with visualization tools Tableau, Power BI
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