We are looking for a talented Data Practitioner to join our team and revolutionize the world of external data! In this role, you will be in charge of designing, implementing, testing, deploying, and maintaining our data products, which include data pipelines and ETL processes. Additionally, you'll harness cutting-edge data science and engineering technologies, such as DBT, Databricks, and Large Language Models (LLMs), to create novel solutions that address complex business challenges.
This role demands strong technical skills alongside a deep understanding of various business contexts, making it ideal for someone passionate about employing the latest technologies to produce meaningful and impactful business outcomes.
Responsibilities:
Lead the development of data products, effectively translating business needs into actionable technical specifications.
Employ cutting-edge technologies including DBT, LLMs, and GenAI to push forward our data science and engineering practices.
Take charge of the entire data product lifecycle, from the creation to the maintenance of ETLs and real-time data pipelines.
Use data science tools to extract actionable insights and valuable business indicators from large datasets.
Ensure high reliability and performance of production systems through robust testing, monitoring, and alerting procedures.
Conduct data analysis across various sources, bringing valuable insights to products and catering to sectors like manufacturing, CPG, and SaaS.
This role demands strong technical skills alongside a deep understanding of various business contexts, making it ideal for someone passionate about employing the latest technologies to produce meaningful and impactful business outcomes.
Responsibilities:
Lead the development of data products, effectively translating business needs into actionable technical specifications.
Employ cutting-edge technologies including DBT, LLMs, and GenAI to push forward our data science and engineering practices.
Take charge of the entire data product lifecycle, from the creation to the maintenance of ETLs and real-time data pipelines.
Use data science tools to extract actionable insights and valuable business indicators from large datasets.
Ensure high reliability and performance of production systems through robust testing, monitoring, and alerting procedures.
Conduct data analysis across various sources, bringing valuable insights to products and catering to sectors like manufacturing, CPG, and SaaS.
Requirements:
At least 1 year of production-level experience in SQL and Python development.
A BSc or BA in Computer Science, a related field, or alumni of an IDF technology unit.
Demonstrated proficiency in data analysis and system evaluation, with the ability to design experiments that inform product decisions.
Big Advantage:
Significant experience in data processing, especially in maintaining production ETLs.
Experience working with a wide variety of data types and sources.
Advantage:
Experience with building Machine Learning models or LLM-related experience.
Experience with databases, both SQL and NoSQL, and data modeling.
Familiarity with the latest data tools and platforms, such as Databricks and DBT.
At least 1 year of production-level experience in SQL and Python development.
A BSc or BA in Computer Science, a related field, or alumni of an IDF technology unit.
Demonstrated proficiency in data analysis and system evaluation, with the ability to design experiments that inform product decisions.
Big Advantage:
Significant experience in data processing, especially in maintaining production ETLs.
Experience working with a wide variety of data types and sources.
Advantage:
Experience with building Machine Learning models or LLM-related experience.
Experience with databases, both SQL and NoSQL, and data modeling.
Familiarity with the latest data tools and platforms, such as Databricks and DBT.
This position is open to all candidates.
