Position Summary:
Samsung Ads is an intuitive audience platform that delivers meaningful experiences reaching the right audience across screens, formats and devices. With more than 50M Smart TVs and 200M connected devices, and the largest first party data set powered by ACR, we help marketers reach targets and enhance experiences that span digital landscapes. The business has grown 10x since 2015. For the opportunity of Big Data Engineering Support, you will be a member of a globally distributed technical support team. You will collaborate with development teams, client account representatives, account managers and Ad Operations to resolve technical support items in a timely manner and build relationships to help grow the business as it scales.analyze big data.
Key Responsibilities:
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
- Interface with customers, understanding their requirements and delivering complete data solutions
- Get into the details of the various issues that could occur and troubleshoot the data processing big data jobs, tracing requests by analysing logs, figuring out if the issue is a software issue or data issue.
- Analyze and solve problems at their root, stepping back to understand the broader context
- Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- Address and effectively manage sensitive issues and manage escalations from business teams
- Build and maintain effective internal relationships, specifically with Engineering, Site Reliability Engineering, Client Support Managers and Ad Operations to help identify, report, and resolve issues quickly
- Establish, meet and monitor SLAs for support issues in conjunction with the rest of the teams
Required Education & Experience:
- Experience as a Business/Product/Data Analyst is a plus
- Experience with Service Desk , ZenDesk or other support platforms
- Ad-Tech domain experience is a plus
- Experience with Redshift and Snowflake a big plus
- Ability to work in a fast paced environment where ambiguity is the norm
- Strong interpersonal skills with a customer success orientation (i.e., patience and calm under the pressure of solving a real time customer issues)
- 3+ years’ experience in designing and developing solutions on AWS platforms
- Organized and process-oriented with ability to drive resolutions working with multiple groups
- Experience with Big Data technologies such as Hive/Spark
- Strong written and verbal communication skills. Excellent ability to present complex technical information in a clear and concise manner to a variety of audiences, including non-technical
- 3+ years’ experience in SQL development
- Experience with Linux scripting
- Bachelors degree in CS/IT or related field
- Effective Problem solving skills with focus on unblocking the customer and planning for longer term remediation measures
- 3+ years’ experience in data modelling, ETL and Data Warehousing