Associate Data Engineer / Data Engineer - NKM-019

Associate Data Engineer / Data Engineer - NKM-019

02 May

02 May


Job Details

The Customer Success and Growth (CSG) organization at Salesforce is responsible for onboarding, customer support, professional services, training, partner certification, and developing long-term relationships with Salesforce customers. The Customer Intelligence (CI) group in CSG creates data driven intelligence on customers’ usage and engagement, which in turn is used to help customers leverage the world’s best CRM platform, through cutting edge data products and deep data science & modeling. The Data Engineering team within the Customer Intelligence group is the backbone of data for the group, which creates, maintains and automates the data for data science modeling and predictive apps.


We are looking for hands-on data engineers who can contribute to the vision of the Data Engineering Organization. As a key member of this group you will have immense opportunities to work on a broad range of problems from designing data pipelines for the data science models built by our data science to creating top class data models through strong design principles and stringent data quality, for reporting applications. You will be working with a group of world-class data scientists as well as product managers and business analysts to build intelligent services for both internal teams and customer-facing products. We share a passion for problem solving, new technologies, and learning, so you will be highly encouraged to explore new technologies and come up with innovative solutions that could take our data landscape to the next level 


- Build data pipelines from Enterprise Data Warehouse and other diverse sources into the Customer Intelligence Data Mart

- Design and enhance the next generation data model to accommodate the ever changing data as well as design & implement quick data solutions to business data needs

- Build data sets for reporting to support visualization tools like Tableau

- Support data migration initiatives to Cloud platforms like Snowflake

- Build end to end solutions (Proof of Concept to Production grade) using open source ETL frameworks, document the solutions and enable the datasets for end users

- Work with the business teams to define and build new metrics in the data mart

- Be flexible in terms of tools and technologies as we explore efficient and unique ways to support our diverse stakeholders

- Have a high sense of urgency to meet milestones/ dates and deliver projects 

- Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity

- Collaboratively work and act as liaison with IT and Product teams in a fast paced environment, to meet deadlines.


- Have a Bachelors or Masters in Computer Science or related field with at least 3 years experience in a data organization

- 2+ years experience in writing complex SQL ( Oracle, Snowflake, Hive, etc.)

- 2+ years of experience in building ETL solutions tools or custom ETL frameworks

- Proficient in Python with at least 2 years of scripting experience. Shell scripting will be a plus

- Experience with automation and scheduling tools like Airflow is a huge plus

- Good knowledge of DB performance concepts like indices, segmentation, projections, and partitions

- Hands on familiarity with big data, Hadoop Ecosystem of tools is desired

- Exposure to Cloud data platforms like GCP or AWS

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