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Platform Engineer Sr

hace 2 semanas

Buenos Aires, Buenos Aires C.F., Argentina ZirconTech A tiempo completo
Lead Platform Engineer

Our client is a global technology company pioneering the future of immersive reality. They build

end-to-end immersive experiences and develop technology that enables people to experience

entertainment like never before. They work across three primary markets—Sports and Entertainment,

Science and Education, and Parks and Attractions—while pushing the boundaries of design,

technology, and service. The world's biggest entertainment brands use their technology to create

mind-blowing immersive experiences for millions of guests.

They are a rapidly growing organization with ambitious plans for 2024 and beyond. They have built a

strong company culture based on mutual respect, accountability to each other, intense curiosity, and a

bold shared vision. Their technology is used around the world and across many industries and markets

to create mind-blowing immersive experiences for millions of guests and they're democratizing access

to the most sought-after experiences on the planet.

Project Details:

The engineering team develops technology to deliver best-in-class experiences through our digital and

live-streaming products. The client is looking for a passionate and talented Lead Platform Engineer,

Data, to help architect the Data platform and build solutions that enable data consumers and others to

measure our performance. The role will be architecting, building, and managing data pipelines that

power business operations for the Venues. The candidate will help evolve the data platform, built on

Databricks and AWS, to implement incremental data flow to join and transform internal and external

data sources efficiently. The ideal candidate will have experience using industry-standard tools and a

strong drive to learn new techniques. The client expects the engineers and leaders to be versatile,

display leadership qualities, and be enthusiastic when tackling new problems as they launch the

venues and push technology to new heights.

Profile Descriptions:

The ideal candidate is a solutions-oriented person who can lead by example and is competent

with all layers of the data platform. They should be willing to roll up their sleeves and be

familiar with various technologies, but they should know how to choose the best technology

for the job. Some experience with e-commerce and retail data is a plus. Ideally, they are

familiar with the sports & eSports industry and digital, tech, and streaming media.

Responsibilities:

● Lead, manage, and mentor a team of data and software engineers, fostering a culture

of collaboration, innovation, and continuous learning.

● Oversee the design, development, and maintenance of scalable data engineering

infrastructure, ensuring optimal performance and reliability.

● Collaborate closely with cross-functional teams to ensure the successful delivery of

scalable and efficient data ingestion services and common tools.

● Work closely with product stakeholders to refine the technical data platform roadmap.

● Build tools to monitor job run status, data quality, and SLA thresholds.

● Manage cross-team dependencies and work with tech leads on solutions.

● Apply state-of-the-art techniques for managing complex workflows, like incremental

data flow.

● Contribute to high-level strategic decisions with the rest of the Engineering and

Executive teams.

● Stay on top of industry trends and emerging technologies.

● Exemplify excellent written and verbal communication skills and the ability to tailor

technical communications to any audience deftly.

● Push the limits, try new technologies, take calculated risks, swing for the fences, and

proactively search for the best solutions and ideas in the marketplace.

Qualifications

● Proven experience (6+ years) in software engineering and data engineering, with

a strong emphasis on managing complex API development and data ingestion.

● Strong experience with Dataframe-based development for data transformation,

i.e. Pandas, Spark or writing analytical SQL queries, especially in a cloud

environment.

● Deep Experience with Data Bricks.

● Strong Experience with data modeling and efficient design.

● Strong Experience with source control tools such as GitHub Actions, Pulumi,

Terraform and related CI/CD processes.

● Strong Experience working with Data streaming services such as Kafka, etc

● Deep understanding of the data development cycle, including exploration,

extraction and transformation of new data

● Technical expertise creating machine learning models

● Experience working with downstream data consumers

● Working knowledge of web and app analytics, i.e. inbound attribution, UTM

parameters, etc. is a plus

● Experience with retail systems, i.e. point of sale and inventory tracking is a plus

● Driven to automate your processes, test continually, and document your work.

● You're not afraid of an open, candid, and respectful work environment.

● Passion for video live-streaming and sports is a plus.

Interview Expectations:

1. Our partner will interview for 30 mins.

2. 30-minute interview with the Head of Product and 30 minutes with the Head of Engineering

3. Possibly one more interview with SVP

We Offer:

A dynamic and collaborative work environment.

Non-workable local holidays

Birthday´s day off

Trainings

Flexibility

100% Remote work

Equal Employment Opportunity Policy

Our company does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factors.