Data Engineer
Posted 20 days ago · 0 applicants
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The role in plain words
This role is responsible for designing, planning, and implementing end-to-end data solutions in a cloud environment, primarily AWS. The day-to-day work involves building data infrastructure and pipelines, developing ETL processes, and constructing a Data Warehouse from scratch. Additionally, the role includes gathering requirements directly from clients and business teams to deliver technical solutions.
- 3–5 years of experience in designing, architecting, developing, and implementing end-to-end data solutions
- Experience in building a Data Warehouse (DWH) from scratch – including data modeling, loading processes, and architecture
- At least 2 years of hands-on experience with AWS/AZURE based data technologies
- Experience in building and maintaining advanced data pipelines from various data sources
- Significant experience in designing, developing, and maintaining ETL processes
- Familiarity with advanced architectures such as Data Lake or Data Mesh
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Who this suits
This role suits an experienced data professional with 3 to 5 years of experience who is comfortable working independently and has hands-on experience with AWS or Azure. It is less ideal for those who prefer highly structured team environments without direct client interaction or those lacking experience in building data warehouses from scratch.
Full job description
Original listing · kept for referenceתיאור ודרישות משרה
We are looking for a Data Engineer expert with innovative thinking, initiative, and strong technological drive – someone who can take a business need and turn it into a smart and precise technological solution, from ideation to implementation.
This is an independent, end-to-end role that includes responsibility for designing, planning, and implementing data solutions in a cloud environment (primarily AWS), building data infrastructure and pipelines, and providing technical support to clients.
Must-Have Requirements
3–5 years of experience in designing, architecting, developing, and implementing end-to-end data solutions.
Experience in building a Data Warehouse (DWH) from scratch – including data modeling, loading processes, and architecture.
At least 2 years of hands-on experience with AWS/AZURE based data technologies.
Experience in building and maintaining advanced data pipelines from various data sources.
Significant experience in designing, developing, and maintaining ETL processes.
Deep understanding of infrastructure, information security, and cloud architectures.
Experience working with clients/business teams – including gathering requirements and leading the technological solution.
Familiarity with common BI tools such as Power BI, Tableau.
Experience with scripting/coding languages such as Python.
Ability to work independently, with attention to detail and strong initiative.
Nice-to-Have Requirements
Familiarity with advanced architectures such as Data Lake or Data Mesh.
Innovative thinking, ability to solve complex problems, and a proactive technological approach.
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 3–5 years of experience in designing, architecting, developing, and implementing end-to-end data solutions, Experience in building a Data Warehouse (DWH) from scratch – including data modeling, loading processes, and architecture, At least 2 years of hands-on experience with AWS/AZURE based data technologies, Experience in building and maintaining advanced data pipelines from various data sources, Significant experience in designing, developing, and maintaining ETL processes