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Senior Data Engineer

Adaugat: Azi

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Companie :
Colibri Digital
Functia Jobului :
Inginerie & tehnologie
Industrie :
IT si telecomunicatii
Locatie :
Tip job :
Program Full Time
Descriere:


Department: Services

Location: Remote, Romania

Description
We are seeking a highly skilled Senior Data Engineer to join our team and play a pivotal role in designing, implementing, and managing new data technology infrastructure. You will be responsible for building and maintaining a scalable and robust cloud-based platform that consolidates existing legacy data services. The platform will enable efficient data management, automation of processes, and provide high-quality data services to our users and tooling.
The role is 100% remote but the successful person must reside in Romania.
Key Responsibilities

  • Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
  • Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
  • Develop data models and schemas to support efficient data storage and retrieval.
  • Implement data quality and validation processes to ensure the accuracy and consistency of data.
  • Optimize data processes and queries for performance and scalability.
  • Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
  • Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
  • Implement data governance and security controls to ensure data privacy and compliance with regulations.
  • Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.

Skills, Knowledge and Expertise

  • Excellent understanding of Azure data tools, especially Databricks
  • Proven experience as a Data Engineer, working with Azure data services.
  • Strong understanding of data modeling concepts and relational and non-relational databases.
  • Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).
  • Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).
  • Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.
  • Knowledge of data governance and data security best practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills to work effectively within a team environment.
  • Experience with Agile methodologies is a plus.

The Ideal Candidate

  • Enthusiastic, motivated self-starter.
  • Comfortable problem solving alone as well as part of a team.
  • Confident reaching out to stakeholders and colleagues in order to solve problems and understand issues.
  • Happy in a remote working environment.
  • Keen interest in new technologies and learning about them.

Benefits

  • Remote-first working with flexibility around client needs.
  • Projects with global brands & public sector leaders, working on real-world impact.
  • Exclusive access to AWS & Databricks certifications, training, and partner tools.
  • A collaborative culture of technical excellence and continuous learning.
  • A lead role in shaping delivery standards and future Data & Consulting practices within the firm.
  • Competitive salary and long-term growth opportunities.


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