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Job Information

Dow Jones Senior Data Engineer in Romania

Job Description:

About Us

OPIS, part of Dow Jones, is one of the world's most comprehensive sources for petroleum pricing and news information. OPIS provides real-time and historical spot, wholesale/rack and retail fuel prices for the refined products, renewable fuels, and natural gas and gas liquids (LPG) industries. At its core, OPIS uses a set of complex IT systems and tools, handling huge amounts of data in a reliable way, and providing customers with business applications to use this data as efficient as possible.

Your Role

Dow Jones is looking to expand its Romanian Database Development and Architecture team based in Bucharest. This team focuses on developing the data infrastructure to support our large volume transactional data processing, data science, and machine learning projects. This is a unique opportunity to join a fast-growing team that will become an important part of global Dow Jones team. This team will work closely with the OPIS IT HQ based in Rockville, US. To fit this role, we are looking for that unique mix of solid technical capabilities, blended with strong interpersonal skills.

  • 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

  • Believe in high quality, creativity, initiative and self-management in everything you work on

About You

  • 5+ years of experience in data management technologies (Microsoft SQL Server, Postgres, advanced SQL coding, relational database design, data warehousing)

  • 4+ years of experience in developing Big Data technologies (Spark, AWS EMR) and distributed data processing to handle large volumes of data

  • 4+ 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

Nice to have:

  • 1+ years of experience working with Parquet file formats and AWS S3 storage

  • 1+ years of experience in writing infrastructure as code for AWS cloud services (Terraform, CloudFormation)

  • 1+ years of experience creating CI/CD deployment pipelines in Azure DevOps

  • 1+ years of experience working with containers (Docker, Kubernetes)


Inclusion and diversity are critical to the success of Dow Jones, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees.


Current Colleagues

If you are currently employed by Dow Jones, please apply internally via the Workday internal careers site.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .

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, please reach out to us at TalentResourceTeam@dowjones.com. Please put “Reasonable Accommodation" in the subject line.

Business Area: OPIS

Job Category: IT Development Group

Union Status:

Non-Union / No clear and likely Internal Candidate (Employee Only) has been identified

Req ID: 34151

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