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Director, Data Engineering Jobs
Company | Moz |
Address | Canada |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet |
Expires | 2023-09-18 |
Posted at | 8 months ago |
Description
- Cross-organizational Collaboration: Foster creative collaboration not only within your organization but with product managers, marketing teams, SEO specialists, and SMEs to align data engineering initiatives with forward-thinking product roadmaps and business objectives.
- Data Infrastructure: Work with your teams and technical leaders to design, develop, and maintain scalable data infrastructure to support the storage and processing of large-scale SEO data as necessary to meet the needs of the business and industry.
- Team Management: Build and direct high-performing data engineering teams (including a mix of full-time and contract employees), ensuring they have the necessary skills, resources, and support to excel in their roles.
- Leadership and Strategy: Provide strategic leadership, vision, and guidance to your data engineering teams, aligning their efforts with the company’s goals and objectives.
- Performance Optimization: Ensure your organization continuously optimizes data processing and storage systems for improved performance, scalability, and cost efficiency.
- Data Processing and Analysis: Ensure your teams implement efficient data processing and analysis pipelines to derive actionable insights for our tools from complex SEO data sets, leveraging technologies like Hadoop, Spark, or other relevant big data frameworks.
- Data Quality and Governance: Establish and enforce data quality standards and governance policies to ensure data accuracy, consistency, and compliance with industry best practices and expectations.
- Industry Trends and Innovation: Stay up to date with the latest trends and advancements in big data technologies, SEO analytics, and data engineering best practices, and apply this knowledge to drive innovation within the organization and our products.
- SEO Data Integration: Collaborate with SEO specialists and software engineers to develop and integrate data from various sources, including search engines, web analytics tools, and third-party APIs, to enhance our SEO software’s capabilities.
- Exceptional communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders.
- Solid understanding of data integration and ETL processes, with experience working with APIs and data from various sources.
- Excellent problem-solving and analytical thinking abilities, with a focus on delivering data-driven insights and solutions.
- At least 3 years experience in a leadership role with experience managing managers.
- Strong leadership and team management skills, with a proven track record of building and leading high-performing teams.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or equivalent experience.
- Proven experience (8+ years) in data engineering, with a focus on big data processing and analysis.
- Familiarity with big data processing frameworks like Hadoop, Spark, or Flink, and related technologies such as Hive, Pig, or Kafka.
- Familiarity with data marketplaces such as Snowflake and Databricks.
- Experience specifically using AWS for large data solutions.
- Strong knowledge of SEO principles, search engine algorithms, and web analytics tools.
- Curiosity or passion around popular programming languages and paradigms used in data processing and modeling.
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