Data Engineer
Employer: | Evolve today |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 07.02.2025 |
Remote work: | Hybrid |
You can apply to this ad only with your hipo.ro account, without creating a CV.
Completing the web form for a new account on hipo.ro takes 2 minutes or you can go even faster by importing your data from Facebook or Linkedin.Short company description
At Evolve today we offer complex Human Resources services, from business consulting to headhunting and recruitment. We have extensive experience in finding talented professionals, for a variety of industries, especially in the IT sector.
We started with a dream: to create a Human Resources company with a strong, unique profile on the market, deeply shaped by our core values: commitment to performance, professionalism, a balanced approach and deep satisfaction for our clients.
From that moment, we nurtured special relationships and we continuously evolved, being flexible, but staying true to our values. We aim higher and higher and we invite you to EVOLVE with us!
Requirements
In this role you will build and maintain the global Data Management platform. In collaboration with the team, other departments and external service providers, you will drive the data management.
Your profile
Minimum of 3+ years of experience as Data Engineer or similar role.
Expert in working with Informatica (IDMC, CDQ, Power Center).
Good experience in end-to-end data processing (ETL/ELT).
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience in API development (Java, Node.js, TypeScript).
Working experience working with Azure (DevOps, Data Factory, Databricks, DataLake).
Strong communication and analytical skills.
Full professional proficiency in written and spoken fluency in English, ideally also in German.
Master's or Bachelor's degree in engineering, computer science.
Responsibilities
Main task
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Designs data integrations and data quality framework.
Designs and evaluates open source and vendor tools for data lineage.
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture
You can apply to this ad only with your hipo.ro account, without creating a CV.
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