Aws Data Engineer

hace 7 meses

Buenos Aires, Argentina Wunderman Thompson A tiempo completo

**Who we are**:
At Wunderman Thompson we exist to inspire growth for ambitious brands. Part creative agency, part consultancy and part technology company, our experts provide end-to-end capabilities at a global scale to deliver inspiration across the entire brand and customer experience.

We are 20,000 strong in 90 markets around the world; our people bring together creative storytelling, diverse perspectives, inclusive thinking, and highly specialized vertical capabilities to drive growth for our clients. We offer deep expertise across the entire customer journey, including communications, commerce, consultancy, CRM, CX, data, production, and technology.

**Who we are looking for**:
Wunderman Thompson is seeking an AWS Data Engineer who be tasked with implementing, maintaining and populating analytics databases. This person will work with data pipelines, tune databases for efficient analysis and create table schemas using extract, transform, load (ETL) methods.

**What you'll do**:

- Provide technical advice and weighs in on technical decisions that impact cross functional teams
- Owns the change request process and may coordinate with other teams as necessary
- Performs technical design reviews and code reviews
- Performs technical testing to ensure unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan
- Assesses current status and supports data information planning
- Maintains technical development environment
- Will begin to set direction at the project/service level and influences decision-making
- Provides technical guidance, and mentoring. Understands the tradeoffs between technical, analytical and product needs of the technical solutions
- Identifies and propose strategies around technical problems affecting team, communicates standards and gets buy-in on solutions
- Facilitates group sessions to elicit complex information on requirements clarification, design sessions, code reviews and troubleshooting issues
- Supports vendor evaluation

**What you'll need**:

- Advance level of English
- Bachelor's or Advanced Degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience.
- Minimum of 5 years related experience;
- Experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines
- Experience with AWS; GCP and Azure cloud platforms
- Extensive experience in data analysis using SQL and Python in traditional and cloud-based data warehouse environment
- Excellent knowledge of AWS architecture
- Experience in creating, adjusting, and maintaining ETL data pipelines AWS Glue, Azure Data Factory, Google Data Prep, etc. (including custom SQL, Python, PySpark)
- Ability to create and connect to different kind of APIs
- Ability to analyze and troubleshoot logs

At Wunderman Thompson, we are committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Wunderman Thompson is a WPP agency. For more information, please visit our website and follow Wunderman Thompson on our social channels via Twitter, Facebook, LinkedIn, and Instagram.

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