Senior Manager, Data Engineer

We are looking for a Sr. Manager to join our growing data engineering team. The ideal candidate has significant experience in building scalable data products that enable business intelligence, analytics, data science, and machine learning. You will be responsible for our consumer solutions group. You must have strong, hands-on technical expertise in a variety of technologies and the proven ability to fashion robust, scalable solutions. The consumer solutions team is responsible for defining and building robust user-centric data models that facilitate cohorting and customer segmentation. The team works to deliver solutions focused on search, engagement, acquisition, and other user-focused activities on Glassdoor.com. We embrace a wide variety of technologies and work very closely with data scientists and business stakeholders to deliver end to end solutions. If you are interested in a fast paced environment, the latest technologies, and fun data problems, come join us! Responsibilities Working directly with stakeholders in Product and Decision Science. Plan and prioritize quarterly roadmaps for the team. Manage a team of 2 lead data engineers. Responsible for coaching, mentoring, providing career guidance and retaining this high function team. Partner with other managers in setting the cultural tone across data engineering and in planning process and technology roadmap evolutions. Coordinate cross-departmental projects and proactively drive projects and roadmap items to completion. Makes wise decisions within the context of existing information and goals.  Solves root causes of problems vs symptoms. Thinks strategically. Prioritizes work intelligently. Act as the point of contact for your assigned business domains. Can actively work on multiple projects in a fast-paced, dynamic team environment with high expectations for quality. Lead daily standups, perform design reviews and provide architectural guidance when necessary. Execute sprints; groom and prioritize backlog using JIRA. Design and develop big data applications using a variety of different technologies. Develop logical and physical data models for big data platforms. Automate workflows using Apache Airflow. Write data pipelines using Apache Hive, Apache Spark, Apache Kafka. Create solutions on AWS using services such as Kinesis, Lambda, and API Gateway. Accustomed to making decisions with little supervision or direction with a "can-do, make-it-happen" attitude. Provide ongoing maintenance and enhancements to existing systems, and participate in rotational on-callsupport. Learn our business domain and technology infrastructure quickly and share your knowledge freely and proactively with others in the team. Key Qualifications 7+ years of hands-on experience with developing data warehouse solutions and data products. 4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive, Spark, Airflow, Kafka, etc. 2+ years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms. 3+ years of experience managing a team of engineers Experience with programming languages: Python, Java, Scala, etc. Experience with scriptinglanguages: Perl, Shell, etc. Practice working with, processing, and managing large data sets (multi TB/PB scale). Exposure to test-driven development and automated testing frameworks. Confident, professional, and effective communicator (both verbally and in written form) that can work with all levels and departments in an organization and get his/her point across in a concise, articulate, and congenial way. Bachelor's Degree in computer science or equivalent experience. Nice To Have Experience building machine learning pipelines or data products. Familiarity with AWS or GCS technologies. Be passionate about or have contributed to open sourced engineering projects in the past.
Salary Range: NA
Minimum Qualification
8 - 10 years

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