Data Engineer na Dowjones

Job Description:

About Our Organization:

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Mansion Global, Financial News, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

About the Role

We are looking for a Senior Data Engineer that will design, develop and maintain database architecture and code initiatives supporting internal and third-party software solutions, delivering excellent products in scope, and meeting current and long-term business needs for the business area. Participate in an agile team of engineers, building trust and confidence with team members and business stakeholders. Lead, mentor, and coach junior data engineers to build stronger and faster teams.

You Will:

As an experienced Senior Data Engineer, your responsibilities will include, but are not limited to: working with our product teams to provide, effective and performant solutions; contributing to the design of scalable data solutions, including the development of automated pipelines; implementing and/or maintaining database systems to ensure the availability and consistent performance of our application suite; understand and define business data requirements and identify data needs and data sources to create scalable data architecture and support enhancements, new product and implementation. You will be a strong collaborator working with other team members, driving both employee and team development and growth.

You Have:

• Degree in computer science, related technical field, or equivalent experience
• Minimum of 2 years database developer experience (Snowflake, Postgres or equivalent)
• Experience creating data models for the integration of multiple systems
• Ability to create and maintain stored procedures
• Experience writing SQL queries and statements to explore source data and data issues
• Knowledge of cloud data technologies and architecture
• Knowledge of Python for data analysis and automation
• Knowledge of building CI/CD pipelines for code deployment
• Knowledge of Orchestration tools (Airflow)

Our Benefits

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Comprehensive Medical, Dental and Vision Insurance Plans
• Education Benefits
• Paid Maternity and Paternity Leave
• Family Care Benefits
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program

Learn more about all our US benefits

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area:

Dow Jones - Technology

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Candidatar-se agora