Data Engineering – LMTS – Hyderabad

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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.

Salesforce Cloud Economics and Capacity Management (CECM) team is 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 pipelines
• Independently design & develop resilient and reusable automation data frameworks.
• Responsible for end-to-end delivery including performance tuning, monitoring applications, analyzing logs and performing system operations.
• 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 needs
• Work and collaborate with global teams across AMER, and APAC.

Required Skills/Experience

• Bachelors degree in Computer Science.
• 7+ years of experience in data engineering, data modelling, automation and analytics
• Deep understanding of data engineering tech stack, database designs, associated tools, system components, internal processes and architecture.
• Experience working as a technical lead/solution architect in a customer-focused team
• Must be able to strategically communicate status and identify risks
• Self-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 with minimal direction
• Hands-on expertise in building scalable data pipelines using best practices in data modelling and ETL processes
• Deep proficiency in SQL and demonstrated experience in Python
• Proficiency in Big Data technologies like Spark, Trino, Hive, Airflow
• Experience working in Agile and Scrum methodology, incremental delivery, and CI/CD
• Experienced in cloud provider platforms such as AWS, Azure, GCP
• Experience working with globally distributed engineering teams.
• Experience with data visualization tools like Tableau is a Plus

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