#L1- PS1
Senior Data Engineer
As a Senior Data Engineer you will work on complex data problems that require both creativity and analytical rigor. You will help drive product adoption and collaborate closely with cross-functional teams including Consulting Product and Media.
Key Responsibilities
-
Develop manage and optimize ETL pipelines to support data integration and transformation
-
Design and optimize data storage solutions for performance scalability and reliability
-
Ensure high data quality consistency and integrity across all data platforms
-
Collaborate with cross-functional teams to define data requirements and support analytics initiatives
-
Implement and manage cloud-based data services to improve accessibility and efficiency
-
Enhance and maintain existing data pipelines for improved performance and stability
-
Perform data modeling and schema design to support reporting and analytics needs
-
Optimize SQL queries to improve performance and reduce processing time
-
Integrate data from multiple sources into Google BigQuery
-
Implement data visualization solutions based on stakeholder requirements
-
Monitor troubleshoot and maintain existing data infrastructure
-
Evaluate and recommend new GCP services and tools for data engineering solutions
-
Document data processes and maintain comprehensive data architecture documentation
Required Skills & Qualifications
-
Strong proficiency in SQL and MySQL for database management
-
Extensive experience with Python and PySpark for large-scale data processing
-
Hands-on data engineering experience with Google Cloud Platform (GCP):
-
BigQuery
-
DataProc
-
Cloud Composer
-
Expertise in designing and optimizing ETL/ELT workflows
-
Solid understanding of data warehousing concepts and architectures
-
Experience building and managing data pipelines
-
Familiarity with cloud-based data storage and processing services
-
Experience with Data Visualization tools .
#L1- PS1 Senior Data Engineer As a Senior Data Engineer you will work on complex data problems that require both creativity and analytical rigor. You will help drive product adoption and collaborate closely with cross-functional teams including Consulting Product and Media. Key Responsibilities ...
#L1- PS1
Senior Data Engineer
As a Senior Data Engineer you will work on complex data problems that require both creativity and analytical rigor. You will help drive product adoption and collaborate closely with cross-functional teams including Consulting Product and Media.
Key Responsibilities
-
Develop manage and optimize ETL pipelines to support data integration and transformation
-
Design and optimize data storage solutions for performance scalability and reliability
-
Ensure high data quality consistency and integrity across all data platforms
-
Collaborate with cross-functional teams to define data requirements and support analytics initiatives
-
Implement and manage cloud-based data services to improve accessibility and efficiency
-
Enhance and maintain existing data pipelines for improved performance and stability
-
Perform data modeling and schema design to support reporting and analytics needs
-
Optimize SQL queries to improve performance and reduce processing time
-
Integrate data from multiple sources into Google BigQuery
-
Implement data visualization solutions based on stakeholder requirements
-
Monitor troubleshoot and maintain existing data infrastructure
-
Evaluate and recommend new GCP services and tools for data engineering solutions
-
Document data processes and maintain comprehensive data architecture documentation
Required Skills & Qualifications
-
Strong proficiency in SQL and MySQL for database management
-
Extensive experience with Python and PySpark for large-scale data processing
-
Hands-on data engineering experience with Google Cloud Platform (GCP):
-
BigQuery
-
DataProc
-
Cloud Composer
-
Expertise in designing and optimizing ETL/ELT workflows
-
Solid understanding of data warehousing concepts and architectures
-
Experience building and managing data pipelines
-
Familiarity with cloud-based data storage and processing services
-
Experience with Data Visualization tools .
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