Data Engineer

at  Epsilon

Company Description
Epsilon is a global leader in outcome-based marketing. As a company at the forefront of marketing innovation, Epsilon provides a unique blend of data, technology, and services, driving measurable results and business growth for its clients. With over 9000 employees in 60 countries and rich 50-year history delivering cutting edge technology, data, and media solutions, Epsilon has a vast client portfolio in Automotive, Telecommunications, Retail, Fast Moving Consumer Goods, Financial Services, Healthcare, Travel, and more.

Did you know that Epsilon:

• Created the first ever travel rewards program for PanAm Airlines?
• Built Apple’s first CRM database?
• Is the technology behind the loyalty programs of Marriott, Walgreens, Citi, and more?
• Is ranked number 1 in IDC’s MarketScape Assessment for global DSPs and Leader in Forrester’s global Loyalty management software vendors?

Job Description
We are seeking a talented Data Engineer to join our team, focusing on the creation and maintenance of robust data pipelines. The ideal candidate will have a strong background in data engineering, with expertise in designing, developing, and optimizing data pipelines to support our data-driven initiatives.

Knowledge of cloud technologies in Amazon Web Services.

• Experience with SQL and NoSQL databases such as MySQL, MondoDB or Redis.
• Proven experience in Python or Scala.
• Experience working with data pipelines.
• Experience with Git.
• Experience using Spark, or equivalent technology, to manipulate large volumes of data.
• Intermediate English.
• Experience designing a Data Lake
• Have developed REST APIs.
• Have used Atlassian Jira and Confluence.
• Have worked with agile methodologies.
• Have used HDFS / Hadoop to store data.
• Knowledge of Airflow

• Implement and manage Databases.
• Develop ETLs to feed services or data models.
• Develop monitoring and data quality systems.
• Develop APIs to connect multiple services or data models.
• Achieve Sprint objectives.
• Document your developments
• Design data architectures
• Have the ability to communicate your development to non-technical people.
  Qualifications

Knowledge of cloud technologies in Amazon Web Services.

• Experience with SQL and NoSQL databases such as MySQL, MondoDB or Redis.
• Proven experience in Python or Scala.
• Experience working with data pipelines.
• Experience with Git.
• Experience using Spark, or equivalent technology, to manipulate large volumes of data.
• Intermediate English.
• Experience designing a Data Lake
• Have developed REST APIs.
• Have used Atlassian Jira and Confluence.
• Have worked with agile methodologies.
• Have used HDFS / Hadoop to store data.
• Knowledge of Airflow.

Additional Information