Senior Data Engineer
Israel Full-time Hybrid
SNEAK PEEK
Location: Israel hybrid
Interview process: Phone screening Technical Assessment Home Assignment Interview with the data leadership HR Interview Refernces Offer
Contact: For questions please reach out to:
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 here: .
THE ROLE:
We are looking for an experienced Senior Data Engineer. This role will require working closely with our product and business teams to translate requirements into a concrete plan for design and development. You will be a business-oriented engineer bridging the gap between high-level needs and technical execution. Youll be creating high-performance pipelines to ingest and enrich data and ensuring that this data is modeled perfectly to drive business decisions. You will take the lead in professionalizing our data environment by orchestrating the existing independent scripts into a micro-services architecture.
Hiring manager: Artem Poltavskiy Data Engineering Team Lead
Requirements:
WHAT ARE WE LOOKING FOR
Must-have:
- 4 years of relevant Data Engineering experience.
- Strong expertise in Data Modeling with a deep practical understanding of the Medallion Architecture.
- Proven ability to use dbts core fundamentals ensuring reusability and adherence to robust development patterns.
- Strong proficiency with Columnar Databases with a significant preference for BigQuery.
- Advanced proficiency with LLMs and experience utilizing development agents (e.g. Cursor Antigravity) in engineering workflows.
- Expert at writing custom code to interface with external vendors and APIs (e.g. building resilient collectors that handle rate-limiting and schema changes).
- Demonstrated experience in establishing and managing data orchestration frameworks including migrating existing or legacy data pipelines into a unified orchestration system (such as Airflow).
- Ability to communicate fluently in English
Nice-to-have:
- Experience with Google Cloud Platform (GCP) or similar environments.
- Familiarity with Google applications and analytics suite (Firebase GA360 AdMob etc.).
- Familiarity with data streaming technologies like Kafka or equivalent.
- Proficiency in Python for high-performance data processing.
INTERESTED
Our recruitment process consists of the following steps:
- Phone Screening (15 min)
- Technical Assessment (Modeling/Coding) - Data Engineering Team Lead & Head of Data Engineering (90 min)
- Home Assignment (3 hours of work)
- Interview with the data leadership - Head of Data Engineering and VP Data (60 min)
- HR Interview (60 min)
Get in touch at . We look forward to hearing from you!
Senior Data EngineerIsrael Full-time HybridSNEAK PEEK Location: Israel hybrid Interview process: Phone screening Technical Assessment Home Assignment Interview with the data leadership HR Interview Refernces Offer Contact: For questions please reach out to: WHO ARE WEAt Rounds we believe in h...
Senior Data Engineer
Israel Full-time Hybrid
SNEAK PEEK
Location: Israel hybrid
Interview process: Phone screening Technical Assessment Home Assignment Interview with the data leadership HR Interview Refernces Offer
Contact: For questions please reach out to:
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 here: .
THE ROLE:
We are looking for an experienced Senior Data Engineer. This role will require working closely with our product and business teams to translate requirements into a concrete plan for design and development. You will be a business-oriented engineer bridging the gap between high-level needs and technical execution. Youll be creating high-performance pipelines to ingest and enrich data and ensuring that this data is modeled perfectly to drive business decisions. You will take the lead in professionalizing our data environment by orchestrating the existing independent scripts into a micro-services architecture.
Hiring manager: Artem Poltavskiy Data Engineering Team Lead
Requirements:
WHAT ARE WE LOOKING FOR
Must-have:
- 4 years of relevant Data Engineering experience.
- Strong expertise in Data Modeling with a deep practical understanding of the Medallion Architecture.
- Proven ability to use dbts core fundamentals ensuring reusability and adherence to robust development patterns.
- Strong proficiency with Columnar Databases with a significant preference for BigQuery.
- Advanced proficiency with LLMs and experience utilizing development agents (e.g. Cursor Antigravity) in engineering workflows.
- Expert at writing custom code to interface with external vendors and APIs (e.g. building resilient collectors that handle rate-limiting and schema changes).
- Demonstrated experience in establishing and managing data orchestration frameworks including migrating existing or legacy data pipelines into a unified orchestration system (such as Airflow).
- Ability to communicate fluently in English
Nice-to-have:
- Experience with Google Cloud Platform (GCP) or similar environments.
- Familiarity with Google applications and analytics suite (Firebase GA360 AdMob etc.).
- Familiarity with data streaming technologies like Kafka or equivalent.
- Proficiency in Python for high-performance data processing.
INTERESTED
Our recruitment process consists of the following steps:
- Phone Screening (15 min)
- Technical Assessment (Modeling/Coding) - Data Engineering Team Lead & Head of Data Engineering (90 min)
- Home Assignment (3 hours of work)
- Interview with the data leadership - Head of Data Engineering and VP Data (60 min)
- HR Interview (60 min)
Get in touch at . We look forward to hearing from you!
View more
View less