Data Engineer

7 days ago

India Capgemini Engineering Full time

Job Description:

Note:Working hours 3 PM-12 AM IST

● Bachelor's degree in CS/IT or related field

● 3+ years of experience in application support

● 3+ years experience in SQL development

● 3+ years experience in data modeling, ETL, and Data Warehousing

● Experience working on AWS platforms (including various services)

● Experience with support platforms tools, CRM or ticketing tools

● Experience with Big Data technologies such as Hive/Spark is a plus.

● Experience with Linux scripting is a plus.

● Understanding Web development technologies, frameworks, and Java (languages) is a plus

● 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

● Experience with Redshift and Snowflake is a big plus

● Ad-Tech domain experience is a big plus

● Experience as a Business/Product/Data Analyst is a plus

Role and Responsibilities

● Analyze and solve problems at their root, stepping back to understand the broader context

● Establish, meet, and monitor SLAs for support issues in conjunction with the rest of the teams

● Interface with customers, understand their requirements and deliver complete application and data solutions

● 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

● Get into the details of the various issues that could occur and troubleshoot the data processing big data jobs, trace requests by analyzing logs, and figure out if the issue is a software issue or data issue.

● Learn and understand a broad range of Ads Platform and applications including Amazon’s data resources and know when, how, and which to use and which not to use

● Ability to work in a fast-paced environment where ambiguity is the norm

● Practical Problem-solving skills with a focus on unblocking the customer and planning for longer-term remediation measures

● Organized and process-oriented with the ability to drive resolutions by working with multiple groups

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