Senior Data Engineer, SMTS

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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.

We are looking for an Innovative Engineer to join our growing Pricing Strategy team to help manage, optimize and scale our pricing analytics team. This high impact role will involve designing, building, and maintaining robust data pipelines, databases, and integration systems to ensure the seamless flow and high quality of data across the organization. You will automate data processes and optimize infrastructure for performance and scalability, enabling advanced analytics and decision-making. The role is a unique opportunity to develop cross-functional, and cross-product expertise in Pricing and Packaging Strategy while getting exposure to a variety of high priority products and market expansion initiatives.

Your Impact:

• Be responsible for the technical solution design, lead the technical architecture and implementation of data acquisition and integration projects, both batch and real-time

• Define the overall solution architecture needed to implement a layered data stack that ensures a high level of data quality and timely insights

• Communicate with product owners and analysts to clarify requirements

• Craft technical solutions and assemble design artifacts (functional design documents, data flow diagrams, data models, etc.)

• Build data pipelines data processing tools and technologies in open-source and proprietary products

• Serve the team as a domain expert & mentor for ETL design, and other related big data and programming technologies

• Identify incomplete data, improve quality of data, and integrate data from several data sources

• Proactively identify performance & data quality problems and drive the team to remediate them. Advocate architectural and code improvements to the team to improve execution speed and reliability

• Design and develop tailored data structures

• Support Data Science research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements

• Perform data profiling, sophisticated sampling, statistical testing, and testing of reliability on data

• Strong SQL optimization and performance tuning experience in a high-volume data environment that uses parallel processing

• Participate in the team’s on-call rotation to address sophisticated problems in real time and keep services operational and highly available

• Job Responsibilities

• Be a technical expert on all aspects of SQL, Snowflake, Python, Spark, Hadoop, AWS services, etc.

• Deploy Snowflake following best practices for configuration, optimization, documentation, and support of the data platform

• Maintain a deep understanding of complementary technologies and help organizations leverage Snowflake as part of their larger technology stack

Required Skills:

• Experience will be evaluated based on alignment to the core competencies for the role.

• 5-7 Years of Experience with scripting languages use (Python, R, Java, Scala).

• Good to have Experience in AWS services (VPC, EC2, SQS, SNS, Lambda, IAM, RDS).

• Experience with Informatica Airflow, and Snowflake Cloud Data Platform in an admin/ developer role.

• Experience in managing a GIT based Source control Git/GitHub/Bitbucket.

• Experience with CI/CD technologies and tools like Jenkins, Ant or Gradle.

• Experience with config/provisioning tools like Terraform, Ansible, Chef or Puppet.

• Ability to work well both independently and with other team members.

• Ability to multi-task required and provide rapid support in production.

• Build programmatic ETL pipelines with SQL based technologies and platforms.

• Data governance, verification and data documentation using current tools and future adopted tools and platform.

• Work with different technologies (Python, shell scripts) and translate logic into well-performing SQL.

• Perform tasks such as writing scripts, web scraping, getting data from APIs etc.

• Experience with the Hadoop ecosystem and similar frameworks

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