Job description

Description

Data Engineer

[Freelance, Full-time, Remote GMT+0/GMT+4]

SNEAK PEEK

⇨ Location: Remote, GMT+0/GMT+4

⇨ Interview process: HR interview ⇨ technical discussion ⇨ take-home challenge ⇨ final interview

⇨ Contact: For questions please reach out to: hr@rounds.com

WHO ARE WE?

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us and our values here: www.rounds.com.

THE ROLE

We're looking for a highly skilled Data Engineer to shape and refine our data pipelines. As the first professional in this role, your collaboration with our data analysts and scientists will be essential in constructing the infrastructure for previously untapped data resources. You'll have the opportunity to explore the latest innovative technologies, tools, and methodologies with our team. Your contributions will be significant in establishing a more efficient data infrastructure, contributing to the company's data-driven evolution and success.

Hiring manager: Moti Gorin, VP of R&D

RESPONSIBILITIES:

Develop and optimize data pipeline and architecture for our mobile apps and other data sources. This includes integrating new data sources and optimizing data flows.
Build and maintain big data systems on Google Cloud Platform (such as BigQuery, Dataflow, Dataproc, DBT, Pub/Sub, and more)
Develop data models, schemas, metadata and perform data profiling to understand and optimize how data flows through the pipeline
Monitor and troubleshoot data quality issues throughout the pipeline and develop automated solutions to avoid them in future
Collaborate with data scientists and analysts to understand business needs and develop scalable data solutions
Keep our data architecture up-to-date with advancements in big data technologies

WHAT ARE WE LOOKING FOR?

3+ years experience as a data engineer
Strong Python programming skills and experience with SQL databases
Experience building large-scale data pipelines on Google Cloud Platform /AWS/Snowflake
Ability to collaborate cross-functionally with stakeholders throughout the organization
Excellent communication and documentation skills

NICE TO HAVE:

Knowledge of big data technologies like Spark, Kafka, Airflow, etc.
BS/MS degree in Computer Science, Engineering or related field

HOW DO WE WORK?

We are a distributed team of more than 130 people, all working remotely and communicating partially synchronously (we usually overlap with our team for 4 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU?