Pointfive
Senior Data Engineer Engineering · Tel Aviv · Hybrid Remote
Pointfive, Snowflake, Arizona, United States, 85937
Role overview
We're seeking a talented and motivated Data InfrastructureEngineer focused on data systemsto join our innovative engineering team.As a key member of this team, you will be responsible for designing, building, and maintaining our data infrastructure and pipelines. Your role will involve transforming complex data requirements into efficient, scalable solutions that drive tangible value for our business and customers.What you'll do
Design and implement robust, scalable data pipelines and ETL/ELT processes over terabytes of dataDevelop and maintain our data warehouse architectureCollaborate with cross-functional teams to understand data needs and deliver high-quality solutionsImplement data quality checks and monitoring systemsContribute to the architectural design of our data platformsTroubleshoot and resolve data-related issuesStay current with emerging technologies and best practices in data engineeringWhat you'll bring
Passion for data, a strong learning mindset, and the ability to thrive in a fast-paced environmentProficiency in dbt and SQLExperience with big data technologies such as Snowflake or similarFamiliarity with cloud-based data solutions, preferably on AWS, GCP, or AzureStrong understanding of data modeling, data warehousing, and ETL/ELT processesExperience with database technologies like PostgreSQL, Snowflake, or similarAt least 5 years of experience in software development (Go, Java, Python, C#, etc.)At least 3 years of experience in data engineeringExcellent problem-solving and analytical skillsStrong communication skills with fluency in EnglishAdvantageous: Experience with data visualization tools (e.g., Superset, QuickSight)Our tech-stack
Go, Temporal, dbt, Modern RDBMS, Snowflake, AWS, K8s, modern design & architectural patterns,React, Graphql.
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We're seeking a talented and motivated Data InfrastructureEngineer focused on data systemsto join our innovative engineering team.As a key member of this team, you will be responsible for designing, building, and maintaining our data infrastructure and pipelines. Your role will involve transforming complex data requirements into efficient, scalable solutions that drive tangible value for our business and customers.What you'll do
Design and implement robust, scalable data pipelines and ETL/ELT processes over terabytes of dataDevelop and maintain our data warehouse architectureCollaborate with cross-functional teams to understand data needs and deliver high-quality solutionsImplement data quality checks and monitoring systemsContribute to the architectural design of our data platformsTroubleshoot and resolve data-related issuesStay current with emerging technologies and best practices in data engineeringWhat you'll bring
Passion for data, a strong learning mindset, and the ability to thrive in a fast-paced environmentProficiency in dbt and SQLExperience with big data technologies such as Snowflake or similarFamiliarity with cloud-based data solutions, preferably on AWS, GCP, or AzureStrong understanding of data modeling, data warehousing, and ETL/ELT processesExperience with database technologies like PostgreSQL, Snowflake, or similarAt least 5 years of experience in software development (Go, Java, Python, C#, etc.)At least 3 years of experience in data engineeringExcellent problem-solving and analytical skillsStrong communication skills with fluency in EnglishAdvantageous: Experience with data visualization tools (e.g., Superset, QuickSight)Our tech-stack
Go, Temporal, dbt, Modern RDBMS, Snowflake, AWS, K8s, modern design & architectural patterns,React, Graphql.
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