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Platform Engineer
2 months ago
This is a remote position.
Role and Responsibilities:
A Platform Engineer in this role is responsible for designing, implementing, and maintaining the underlying infrastructure and platforms that support the organization's CDS (Cloud Data Services) solutions. This includes managing cloud-based data warehousing and analytics platforms.
Key Responsibilities:
- Cloud Platform Management:
- Manage cloud-based platforms (AWS, Azure, GCP) for CDS solutions.
- Provision and configure cloud resources (VMs, storage, networking).
- Implement and manage cloud infrastructure automation using tools like Terraform.
- Manage cloud-based platforms (AWS, Azure, GCP) for CDS solutions.
- Data Warehouse Administration:
- Administer cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Perform data modeling, ETL, and data integration tasks.
- Optimize data warehouse performance and query execution.
- Administer cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Data Analytics Tools:
- Manage and support data analytics tools (e.g., Tableau, Power BI, Looker).
- Implement data visualization and reporting capabilities.
- Manage and support data analytics tools (e.g., Tableau, Power BI, Looker).
- Data Governance:
- Implement data governance policies and standards.
- Ensure data quality and integrity.
- Implement data governance policies and standards.
Required Qualifications:
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their services.
- Experience with cloud-based data warehousing and analytics solutions.
- Proficiency in SQL and data modeling techniques.
- Knowledge of data integration and ETL processes.
- Experience with data analytics tools (e.g., Tableau, Power BI, Looker).
- Strong problem-solving and troubleshooting skills.
- Excellent communication and interpersonal skills.
Preferred Qualifications:
- Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Certified Data Engineer).
- Experience with specific cloud-based data warehouses (Snowflake, Redshift, BigQuery).
- Knowledge of data governance and data quality frameworks.
- Experience with data lake and data lakehouse architectures.
Requirements
Role and Responsibilities: A Platform Engineer in this role is responsible for designing, implementing, and maintaining the underlying infrastructure and platforms that support the organization's CDS (Cloud Data Services) solutions. This includes managing cloud-based data warehousing and analytics platforms. Key Responsibilities: • Cloud Platform Management: o Manage cloud-based platforms (AWS, Azure, GCP) for CDS solutions. o Provision and configure cloud resources (VMs, storage, networking). o Implement and manage cloud infrastructure automation using tools like Terraform. • Data Warehouse Administration: o Administer cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). o Perform data modeling, ETL, and data integration tasks. o Optimize data warehouse performance and query execution. • Data Analytics Tools: o Manage and support data analytics tools (e.g., Tableau, Power BI, Looker). o Implement data visualization and reporting capabilities. • Data Governance: o Implement data governance policies and standards. o Ensure data quality and integrity. Required Qualifications: • Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. • Experience with cloud-based data warehousing and analytics solutions. • Proficiency in SQL and data modeling techniques. • Knowledge of data integration and ETL processes. • Experience with data analytics tools (e.g., Tableau, Power BI, Looker). • Strong problem-solving and troubleshooting skills. • Excellent communication and interpersonal skills. Preferred Qualifications: • Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Certified Data Engineer). • Experience with specific cloud-based data warehouses (Snowflake, Redshift, BigQuery). • Knowledge of data governance and data quality frameworks. • Experience with data lake and data lakehouse architectures.