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Principal/Lead software engineer, Data & ML

8.00 to 10.00 Years   Bangalore   12 Apr, 2021
salesforce
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Data Intelligence (Di) is the force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. From financial forecasting, customer health, adoption insights to the utmost trusted and curated data, the Data Intelligence team is the unbiased partner to all data trailblazers at Salesforce.Interesting Articles about some of our work and our culture: How Salesforce CEO Marc Benioff uses artificial intelligence to end internal politics at meetings Lessons in Building: What Salesforce Had to Learn About Forecasting After Missing Internal Sales Goals Salesforce engineering Salesforce Equality Grabbing your seat on the Salesforce Rocket Ship Team OverviewThe Data Science and Engineering team enables various data personas with robust and scalable frameworks, services and brings data to life. We partner with data producers and platform engineers to empower data engineers and data consumers (data scientists, data analysts and Business Intelligence engineers) with data, services and APIs for data science applications, data products and business analytics. We pride ourselves in being data curious (one who has an intrinsic need to understand a data point) and passionate about improving reliability and throughput of analytics and machine learning solutions at Salesforce. We are a globally distributed inclusive team that builds and relies on trust, constantly innovate and work towards one common theme - Customer Success.Role Description:

  • Own the solution design and lead the technical development 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.
  • Contribute to shared Data & ML engineering tooling & standards to improve the productivity and reliability of output for all data personas on the team.
  • Evangelize engineering best practices and continuously look for opportunities to automate and build tools to lower operational barriers, improve clarity on problematic areas, and improve reliability.
  • Understand and influence logging to support our data flow, architecting logging best practices where needed
  • Improve data quality by using & improving internal tools to automatically detect issues at origin.
  • Drive the on-going vision of how users (analysts, data scientists & data engineers) will interact with the data & ml platform.
If you are:
  • Leader: Excellent solution design skills, Inspire and enable distributed teams of senior engineers.
  • Experienced Professional:
    • Expertise in big data technologies like Hadoop, Spark, Presto, Hive, Snowflake etc.
    • Strong coding skills in Python/Java/Scala or equivalent
    • Good knowledge of data structures and algorithms.
    • Solid understanding of engineering and data platform best practices.
    • Understanding of scalability and reliability concerns for data-intensive applications
  • Innovative: have that unique viewpoint to solve problems that make others run and cower.
  • Collaborative & Communicative:
    • Exceptional communication skills, and articulate technical concepts into easy-to-understand language for business partners.
    • Effectively brainstorm, encourage ideation process
  • Preferred:
    • Prior experience with building end-to-end Machine Learning pipelines.
    • Experience with cloud computing platforms such as AWS or GCP.
    • Prior experience with Docker and Kubernetes.
then we are waiting for you to join us on the exciting journey !Minimum Requirements:
  • 8 years of relevant industry experience
  • Bachelor s and/or Master s degree, preferably in CS, or equivalent experience
,

Keyskills :
jqueryjavamvcsql servercustomer relationsequal employment opportunitybig datadata flowbuild toolsdata sciencedata quality

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