Data Engineering, Salesforce
LMTS
$200.8-276.1k
Offers employee stock purchasing program
World's leading CRM provider
Posted today
World's leading CRM provider
1001+ employees
Posted today
$200.8-276.1k
Offers employee stock purchasing program
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 4+ years experience in data engineering
- Build programmatic ETL pipelines with SQL based technologies and platforms
- Solid understanding of databases, and working with sophisticated datasets
- 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
- Be prepared for changes in business direction and understand when to adjust designs
- Experience writing production level SQL code and good understanding of Data Engineering pipelines
- 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
What the job involves
- Salesforce AI Research is looking for both Senior / Lead level Data / ML Engineers with Python, SQL, PyTorch experience, to help us take one of the world’s most extensive datasets and transform it into amazing products that feel like magic
- You will work on cutting-edge AI applications and products. You will work closely with the Salesforce AI research team brainstorming by driving continuous improvements in moving, aggregating, profiling, sampling, testing and analyzing data
- You will help validate models so that we can bring meaningful AI models to power products used by hundreds of millions of people every day. Work with senior deep learning researchers and drive AI innovation for Salesforce products
- Work with research scientists to support cutting-edge deep learning projects for both research and product purposes
- Use open source or vendor tools such as Mechanical Turk and Crowdflower or build customized tools/systems to collect data
- Analyze, curate and build data shapes for the model under validation
- Identify incomplete data, improve quality of data, and integrate data from several data sources
- Perform data profiling, statistical testing, and reliability testing on data
- Build demos for our customers, conference presentations, and the Salesforce Research website
- Identify and push efforts to improve deep learning/machine learning models
- Partner end-to-end with Product Managers and Research Scientists to understand requirements and bring ideas to prototype
- Harness operational excellence & continuous improvement with a can do leadership attitude
- 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
- 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
- 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 research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements
- Clearly articulate 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
- Technology Stack:
- Platform: AWS, Google Cloud, Databricks, Heroku, Docker, Kubernetes
- Programming languages: Python, JavaScript/HTML, SQL (open to other languages)
- Deep learning frameworks: PyTorch, TensorFlow, NumPy, Pandas
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
Financial District, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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