Marketing Evolution provides marketing ROI insights to Fortune 500 companies by aggregating and analyzing vast amount of both public and proprietary data feeds. As a Data Engineer, you will be responsible for building and supporting ETL pipelines to make data consumable by our predictive analytics process.
Responsibilities
- Design and implement new ETL pipelines based on client business logic.
- Optimize and scale existing ETL pipelines.
- Develop tools to support ETL platform.
- Perform ad-hoc queries to support client teams.
Technologies we use
- Python, Spark, AWS, Airflow, Bash, Docker, SQL, Scala, Hive.
Skills and Experience
Required:
- Strong communication skills relating technical work to non-technical people.
- Bachelor’s degree or higher in a relevant technical field, or comparable work experience.
- Competence in Python and SQL.
- Working knowledge of Unix systems, such as Fedora, CentOS, Redhat, etc.
- Understanding of data quality Best Practices.
Preferred:
- Experience working with big data technologies such as Hadoop, Hive, Pig, Spark, Presto, etc.
- Experience working in a cloud-based infrastructure, such as Amazon AWS or Cloudera.
- Competence in at least one OOP language, such as Java, Scala, C++, etc.
- Experience working with NoSQL database technologies such as MongoDB, Cassandra, etc.
Metrics for Success
All employees have annual career growth goals based on their position and core skills/development areas; you’ll receive project-based performance reviews quarterly, and career reviews bi-annually.
Customer satisfaction and the ability to drive large efficiency gains are the most important measures of success.
Marketing Evolution Cultural Values
We seek candidates who are excited to work at a company with the following cultural values:
- Disrupt the norm: Cherish the opportunity to find better ways to do things, regardless of how disruptive or initially painful it might be.
- Dissent then execute: Raise issues and fixes in the planning stage, but when it’s time to execute, execute diligently and without reservation.
- Test and learn: When developing new processes or features, link it to a hypothesis, and evaluate that hypothesis without bias.
- Nothing is impossible: Imagine what’s possible and then have the discipline to execute it. One without the other is not valuable.
- Defect is treasure: Every mistake is an opportunity for the organization to learn and make improvements.
- Share success: Given how hard it is to promote change in our industry, celebrate each success along the way.
by via developer jobs - Stack Overflow
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