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Senior Data Engineer
Employer: | Dow Jones |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 19.05.2024 |
Remote work: | Remote |
Since 1882, Dow Jones has been finding new ways to bring information to the world’s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron’s, MarketWatch, Financial News and OPIS.
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 125 years and today has one of the world's largest news gathering operations globally. It produces leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Factiva, Barron's, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource. Dow Jones is a division of News Corp (NASDAQ: NWS, NWSA; ASX: NWS, NWSLV).
- 2+ years of experience in data management technologies (Microsoft SQL Server, Postgres, advanced SQL coding, relational database design, data warehousing)
- 2+ years of experience in developing Big Data technologies (Spark, AWS EMR) and distributed data processing to handle large volumes of data
- 2+ years of experience writing Python or PySpark
- Experience working in a Linux and Windows environment
- Enjoy implementing new technologies and coming up with innovative solutions
- Value teamwork, being proud of both your own work and your team's success
- Report directly to our Director of Development based in Rockville, US
- Design and develop database architecture to support the processing of large volumes of data
- Write complex and efficient code in SQL or Python to optimize data pipelines to ingest, cleanse, transform and integrate data from multiple disparate sources
- Work extensively with AWS services to deploy and run our database code via CI/CD pipelines
- Develop the data pipelines to support data lake, data science and ML initiatives
- Be part of an Agile team, using the company's latest database development life-cycle working closely with team members from Romania and US
- Coach and mentor less experienced team members
- Adhere to best practice development standards for database design and architecture
Our Benefits:
- Comprehensive Healthcare Plans
- Paid Time Off
- Retirement Plans
- Comprehensive Insurance Plans
- Education Benefits
- Family Care Benefits
- Commuter Transit Program
- Subscription Discounts
- Employee Referral Program
- Performance bonus
- Annual bonus
- Special events bonus (ex: Easter, Christmas)
- Medical insurance
- Life insurance
- Trainings
- Courses
- Certifications
- Remote work allowance / Utilities reimbursement
- Flexible work schedule
- Teambuildings / trips
- Parties / company events
- Laptop
- Meal vouchers
- Gift vouchers
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