Job Description

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Job Category Software Engineering

Job Details

About Salesforce

We\xe2\x80\x99re 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 \xe2\x80\x94 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 \xe2\x80\x93 you\xe2\x80\x99ve come to the right place.

Each team is made up of data scientists, engineers, growth analysts, and information management authorities who are dedicated to driving product strategy with data-driven insights. Teams with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and provide useful insights that impact product strategy. This role involves making an impact by driving continuous improvements in moving, aggregating, profiling, sampling, testing, and analyzing terabytes of data.

The Data and Analytics Organization (DnA) is Salesforce\'s cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integrating platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights.

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
• Reinvent prototypes to create production-ready data flows
• 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
• Clearly articulate the pros and cons of various technologies and platforms in open source and proprietary products Implement proof of concept on new technology and tools to help the organization pick the best tools and solutions
• Strong SQL optimization and performance tuning experience in a high-volume data environment that uses parallel processing
• Participate in the team\xe2\x80\x99s 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
• Foster collaboration with software product development, architecture, and IT teams to ensure releases are delivered with repeatable and audit-able processes.
• Monitoring health, tuning, and growth of cloud databases
• Provides release management support for Warehouse, databases, and related applications
• Interface with engineers, product managers & architecture to understand data needs and help build & migrate data projects onto the Snowflake data warehouse
• Support the set-up of roles, schemas, & data pipelines while adhering to security policies and overcoming security restrictions.
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments.
• Ideal candidates will have a deep understanding of technical and functional designs for Databases, Data Warehousing, Reporting, and Data Mining areas
• Familiar with SDLC and Release Management
• Create documentation reflecting the current platform architecture

Required Skills:

• A minimum of a bachelor\'s degree in computer science or equivalent.
• Experience with Informatica Airflow, and Snowflake Cloud Data Platform in an admin/ developer role
• Experience with SQL/Python & relational data including exposure to complex data models
• 5-7 Years of Experience with scripting languages use (Python, R, Java, Scala).
• 3-5 Years of Experience in AWS services (VPC, EC2, SQS, SNS, Lambda, IAM, RDS).
• Demonstrated knowledge and hands-on experience with AWS alerting/monitoring tools
• Experience in building, and automating the building and provisioning of, AWS infrastructure including security groups, VPCs via Terraform, CloudFormation
• 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.
• Automate data pipelines using scheduling tools like Airflow
• Experience with Hadoop ecosystem and similar frameworks
• Previous projects should display technical leadership with an emphasis on data lake, data warehouse solutions, business intelligence, big data analytics, enterprise-scale custom data products
• Knowledge of data modeling techniques and high-volume ETL/ELT design
• Experience with version control systems (Github, Subversion) and deployment tools (e.g. continuous integration) required
• Experience working with Public Cloud platforms like GPC, AWS, or Snowflake
• Ability to work effectively in an unstructured and fast-paced environment both independently and in a team setting, with a high degree of self-management with clear communication and commitment to delivery timelines
• A related technical degree required.

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