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Data Engineer, Digital Marketing
Posted on 6/27/2022
San Jose, CA, USA
Experience Level
Desired Skills
Apache Hive
Data Science
  • Bachelors or Masters in Computer Science or related field with 5 - 10 years experience in a technical data organization
  • Experience with a data warehousing development environment and exposure to data modeling
  • Proven experience building ETL pipelines (on cloud or on premise
  • Experience in cloud technologies (snowflake/AWS) is a must
  • Experience in SQL, writing sophisticated queries and stored procedures (Oracle, Amazon RDS MySQL, Snowflake, Hive, etc.)
  • Proficient in Python scripting and hands on experience using relevant Python libraries for retrieving and transforming data such as Pandas, Request, JSON, etc
  • Experience with API development for exposing data-as-a-service
  • Experience with automation and scheduling tools like Airflow is a huge plus
  • Experience building/ maintaining data pipelines in a data mart preferably on a cloud platform
  • Experience influencing product decisions with data
  • Strong familiarity with big data and Hadoop ecosystem of tools is desired
  • Design and build extremely efficient & reliable data pipelines to move data across data systems (enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform, external systems through API's etc)
  • Be an expert in cloud data warehouse and cloud ETL tools and capabilities
  • Be very proficient and comfortable in development on open source tools
  • Have keen interest in creating an excellent data operations environment - adhering to SLA's through automation, setting high bar on data quality, be innovative to create custom solutions and frameworks if vital, to meet diverse business needs for data/ reporting
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Closely work with data scientists, other internal data groups and business partners to build data solutions which will support a variety of predictive and reporting applications
  • Have keen understanding data modeling, data access, and data storage, caching, replication, and optimization techniques
  • Always be on the lookout to automate and/ or improve existing data processes for quicker turnaround and high productivity
  • Take pride & ownership of the solutions built by self and the team
  • Mentor and coach to other junior engineers/analysts in the team. Help them resolve technical issues, provide inputs on design
  • Have the ability to quickly change gears based on varying data needs and priorities to meet milestones/ dates and deliver projects
  • Be curious and always on the lookout to apply modern data science techniques to tackle new business challenges
Desired Qualifications
  • MSFT Dynamics or CRM experience is a plus but not required
  • Adobe Experience Platform experience is a plus but not required

10,001+ employees

Digital workflows
Company mission
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations.