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　　Job Category

　　Software Engineering

　　Job Details

　　About Salesforce

　　We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

　　In Cloud Economics and Capacity Management (CECM) team, we are looking for an experienced and committed data engineer to build data pipelines and metrics for Salesforce internal customers in order to establish a robust platform that enables strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. The right candidate must have strong data architecture, ETL, SQL and a proven track record working with enterprise metrics to build automated data pipelines. The candidate should also have strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, and a vision for how to deliver data products. Experience with Tableau analytics tool is a huge plus.

　　Responsibilities:

　　Develop, automate, enhance, maintain ETL pipelinesMaintaining , deploying and code versioning the ETL process.Using GIT CI/CD for DevOps.Design & develop easy, repeatable and reusable automation data frameworks.Responsible for end-to-end data management activities, including but not limited to platform analysis including tuning performance issues, monitoring applications, analyzing logs and performing system operations.Review and validate logical and physical design to ensure alignment with the defined solution architecture. Review solution design and ensure that the defined standards and framework are followed.Evaluate and determine root cause and resolve production issues.Work with internal team members and external partners to support data collection and analysis and understand reporting needsWork and collaborate with global teams across EMEA , AMER, and APAC.

　　Required Skills/Experience:

　　Minimum B.Tech Degree4 to 5+ years related information systems experience in data engineering, data modelling, automation and analyticsDeep understanding of data engineering concepts, database designs, associated tools, system components, internal processes and architecture.Experience working as a technical lead/solution architect in a customer-focused teamExperience working closely with Data Science teamsTeam-first mentality. Excellent social skills in order to build tight-knit relationships that will be essential for the success in this role.Must be able to strategically communicate status and identify risksSelf-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines.Must be results oriented and able to move forward without complete information and with minimal directionHands-on expertise in building scalable data pipelines using best practices in data modelling and ETL/ELT processesDeep proficiency in SQL and demonstrated experience in PythonProficiency in technologies like Spark, Trino, Hive, AirflowAirflow, CI/CD pipelines via Jenkins or similar tools, GithubExperience in AWS technologiesExperience with data visualization tools like Tableau,Salesforce analytics solution is a plus.Experience working with globally distributed engineering teams preferred.Experience working in Agile and Scrum methodology

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