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Data Engineer, Digital Marketing
Posted on 6/27/2022
INACTIVE
Locations
San Jose, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Hive
AWS
BigQuery
Data Science
Hadoop
Marketing
MySQL
Oracle
Pandas
Snowflake
SQL
Python
Writing
Requirements
  • 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
Responsibilities
  • 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
ServiceNow

10,001+ employees

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