Product Data Engineer, Security & Endpoint Products
Norwalk, CT, United States
Datto Inc.
MSPs rely on Datto for mission-critical business continuity and disaster recovery, networking, business management, and file backup and sync solutionsThe Product Analytics team is focused on driving intelligence, value, and impact across Datto leveraging product telemetry. This is a dynamic team that works closely with product leadership to create rich data sets that can be consumed across the organization in a variety of ways from product adoption|health, market|competition, observability and strategic insights.
Job Summary:
Product Data Engineer, is a technical product management role in Product Analytics focusing on our Security & Endpoint Products. In this role, you will lead the development & curation of internal data products for Security & Endpoints. This resource will be dedicated to synthesizing security centric data and intelligence across product telemetry. This role will be a mix of technical and product management responsibilities with a heavy emphasis on technical abilities to research, create & transform insights out of unstructured data.
You will play a key role supporting the planning, launch, and product intelligence insights needed for Datto Security products.
This includes, but is not limited to:
- This role will focus on developing & curating internal data products to produce rich data pipelines across Security & Endpoint Datto products
- Develop and maintain the security|endpoint telemetry roadmap
- Develop data products to programmatically mine & aggregate insights on market intelligence and emerging trends
- Collaborate with Product Management, Engineering & Business Intelligence to understand security themes and cross-product data needs.
- Developing and Maintaining Algorithms
- Universal Datto definitions for security identification/tagging algorithms
- Research tagging methodologies and research search terms and criteria
- Develop reporting framework to elevate potentially stale definitions
- External market and product research - understanding how security products are deployed and translate into detection logic
- Partner with Competitive Intelligence on joint analytics
- Partner with Product Management & Product Marketing on product launch analytics
- Market Trends & Customer Segmentation
- Launch ready adoption tracking for new product launches
Skills/Experiences:
- Advanced degree in Engineering, Computer Science or related field
- Understanding of Big Data technologies and solutions (Hadoop, Kafka, Hive, S3, Redshift, Snowflake etc.)
- 3+ years of industry experience in data engineering, business intelligence, or related field with a track record of manipulating, processing, and extracting value from large datasets
- 2-3 years of technical product management experience or engineering experience
- Advanced working SQL knowledge and strong understanding of relational and non-relational database structures are required
- Must have working experience in one of the following: Spark, Python, R, Julia
- Demonstrated strength in data modeling, ETL development, and data warehousing
- Experienced with data visualization tools such as Tableau, Power-Bi
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiences
- Strong process and project management skills
- Strong interpersonal skills, and a demonstrated ability to interface and maintain positive, constructive relationships with peers throughout the organization.
- Experience with managing backlogs in JIRA or related systems.
- Outstanding attention to detail.
- Ability to learn new concepts and technologies quickly.
- Excellent communication, organization, documentation, written, verbal, and presentation skills.
- Strong troubleshooting skills.
- Strong organizational skills including, but not limited to, task prioritization and effective time management.
- Excellent analytical skills demonstrating good judgment and problem-solving ability.
- A team player with the ability to work independently, with general direction and guidance.
- Positive attitude, enthusiasm, motivation, and a desire for continuous improvement.
Preferred Qualifications
- BA/BS in Computer Science or related technical field or equivalent practical experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Intelligence Computer Science Data pipelines Data visualization Data Warehousing Engineering ETL Hadoop Jira Julia Kafka Pipelines Python R Redshift Research Security Snowflake Spark SQL Tableau Unstructured data
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