Data Solutions Engineer
1 maand geleden
Cleeng is seeking a highly skilled Data Solutions Engineer to join our team. As a key member of our solutions engineering team, you will collaborate closely with internal teams, partners, and clients to design, optimize, and review data architecture related to product development or client integration projects.
Your responsibilities will include collaborating with internal product and technical teams to scope and implement projects, ensuring the quality, consistency, and availability of data. You will also thoroughly cover all critical aspects of the data infrastructure, including data collection, management, transformation, and access, and make sure these are documented in a clear and understandable manner.
You will dive deep into understanding and documenting end-to-end data flows between external data sources and Cleeng product components, encompassing data structure, formats, mapping, tables, and more. Additionally, you will provide valuable support for data migration and integration projects, crafting robust ETL processes to acquire and integrate data from various sources while upholding quality and consistency.
You will also dedicate effort to cleaning and wrangling of data from primary and secondary sources into formats that can be effectively utilized by data teams and other data consumers. Furthermore, you will establish yourself as a trusted advisor for internal teams and partners, offering guidance on data structure, formats, and flows.
As a Data Solutions Engineer at Cleeng, you will have the opportunity to work on unique, market-leading, SaaS products, with clients all over the world. You will work closely with people who value diversity, hard work, friendly relationships, and love their jobs, and get all together to the next level.
Requirements- Proficient with ETL (extraction, transform, load) and related concepts (e.g. data querying) for gathering, cleaning, enriching and transforming data in the desired format
- Proficient in understanding data storage concepts, such as databases, data warehouses and data lakes
- Solid understanding of web communication standards, HTTP, JSON, REST APIs etc.
- A track record of delivering compelling technical solutions for data-related projects
- Previous experience in handling sensitive consumer data and in applying appropriate mechanisms to protect the data
- Familiarity with at least one diagram, design or wireframe tools (such as Figma, Miro, Lucid, Draw.io, PlantUML)
- Competent in English language, written and spoken
- Team player who enjoys working in an international organization, and can thrive in a multicultural environment
- Ability and willingness to delve into complex subjects, explore new topics and recommend a path forward even when in unknown or uncomfortable terrain
- Be pragmatic, ability to think in solutions, to speak up during conversations and make recommendations to ensure progress can be made
- Willingness to learn and continuously improve, to give and receive feedback to help others improve
- Be able to work with people of various backgrounds, technical understanding and seniority, to speak in simple terms and effectively deliver the message to the audience
- Experienced working with data storage, processing, analytics and visibility tools, such as Hevo, Snowflake, Monte Carlo, Looker, PowerBI, Tableau or other BI tool
- Familiarity with collaboration solutions such as Jira, Confluence, Zendesk or similar
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