Data Engineering Leadership Role
1 week ago
Data Engineering Leadership Role
Your responsibilities as a Data Engineering Associate Director
As a data engineer, you will lead the development and delivery of solutions that enable our agency teams to succeed in a competitive marketplace. The right candidate will be motivated, continually learning, and proficient in modern technologies and strong engineering practices.
Our team is seeking a high-performing data engineer responsible for developing, implementing, and supporting a data-driven software platform. The ideal candidate will be a self-starter with a sense of urgency, commitment to quality, and professionalism. Key areas of background that will elevate the candidate's ability to hit the ground running include:
- Strong understanding of media measurement and currency datasets
- Cloud infrastructure and data processing technologies
Core Responsibilities:
- Analyze business requirements and partner with product owners to build a scalable solution.
- Integrate with 3rd party API's for data consumption.
- Work independently on data analysis and ETL design & development.
- Collaborate across product teams to build solutions that achieve business objectives.
- Follow best practices in data architecture and data processing.
- Optimize and scale backend systems for performance, reliability, and scalability.
- Develop technical documentation for each solution.
- Work on projects in an agile environment.
Qualifications
You will be a great fit if you have
- Minimum Bachelor's Degree in Computer Sciences, Information Technology, or its equivalent.
- 3+ years' experience writing code to integrate with various API endpoints.
- Experience and thorough understanding of RESTful APIs required.
- Knowledge and experience in a coding language like Python or Scala required.
- Knowledge and understanding of big data processing technologies like AWS Glue, Databricks etc. would be preferred.
- 3+ years' experience with SQL and databases.
- Comfortable with data warehousing concepts, preparing data, and configuring automated workflows.
- Excellent communication and presentation skills as well as an analytical mindset.
- Strong data analysis skills required.
- Experience connecting and merging disparate datasets.
- Strong organizational skills & attention to detail.
Possess a desire to work for a fast-paced, results-based company.
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