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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
hiring a Staff Data Infrastructure Engineer to join the Team at SuperSonic Studios. We are looking for talented, curious, hands-on, business-oriented, and highly motivated candidate to enhance and support our extensive code infrastructure and our great data engineers, BI and Science teams. You will work with different stakeholders, BI, R&D, Growth, product team & Data science. Reporting to the Director of Data Infrastructure and co-working with the Data Infrastructure Manager. You must have a good understanding of the business and internal customers needs in order to provide them with the most useful and clear infrastructure. Also, we welcome you to put your ideas on the table and take initiatives during the project life cycles.
What you'll be doing
A Staff Data Infrastructure Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. Working closely with data scientists, software engineers, and other stakeholders to ensure the availability, usability, and integrity of data. Managing the cost reduction of the data team over the data infrastructure
Handling the POCs and new projects, supporting all the data engineering team members, providing technical guidance and assistance.
In charge of the machine-learning data stuck for offline and online.
Overseeing Data Architecture and Management, Managing the cost reduction of the data team.
Work with top notch data tools and environments at high data scale and super significant to the business. PB data scale.
Working on a large scale of Data, creating data lake infrastructure based on docker/Airflow combined with lots of AWS services & creating MASS ETL tools.
In addition, creating the data lake of the division, along with Presto over EMR.
In charge of 1B events per day, including log-servers written in Go-lang.
Working with Upsolver over AWS kinesis streams.
What you'll be doing
A Staff Data Infrastructure Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. Working closely with data scientists, software engineers, and other stakeholders to ensure the availability, usability, and integrity of data. Managing the cost reduction of the data team over the data infrastructure
Handling the POCs and new projects, supporting all the data engineering team members, providing technical guidance and assistance.
In charge of the machine-learning data stuck for offline and online.
Overseeing Data Architecture and Management, Managing the cost reduction of the data team.
Work with top notch data tools and environments at high data scale and super significant to the business. PB data scale.
Working on a large scale of Data, creating data lake infrastructure based on docker/Airflow combined with lots of AWS services & creating MASS ETL tools.
In addition, creating the data lake of the division, along with Presto over EMR.
In charge of 1B events per day, including log-servers written in Go-lang.
Working with Upsolver over AWS kinesis streams.
Requirements:
A profound love for software engineering with a perpetual drive to enhance both the software and the associated workflows.
Eager to lead design and architecture talks, actively engage with various stakeholders, and champion best practices, quality, and positive work ethic.
A collaborative spirit, willing to mentor and learn from peers.
Unwavering commitment to quality, advocating for automated processes, and holding a sense of end-to-end ownership.
Excellent problem-solving skills are essential
You might also have
Data Science skills such as developing models, tuning them and evaluating them.
A profound love for software engineering with a perpetual drive to enhance both the software and the associated workflows.
Eager to lead design and architecture talks, actively engage with various stakeholders, and champion best practices, quality, and positive work ethic.
A collaborative spirit, willing to mentor and learn from peers.
Unwavering commitment to quality, advocating for automated processes, and holding a sense of end-to-end ownership.
Excellent problem-solving skills are essential
You might also have
Data Science skills such as developing models, tuning them and evaluating them.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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