➡️ Apply here: Senior Data Engineer
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We are looking for a skilled and proactive Data Engineer with deep expertise in the Azure ecosystem to join our data team. You will be responsible for designing, building, and optimizing scalable data pipelines and cloud architectures that power analytics and business intelligence across the organization. Your role is central to transforming raw data into reliable, high-quality datasets using modern tools like Fabric, Databricks, and Synapse.
**LOCATION:** GEORGIA (office in Tbilisi or 100% remote)
**RESPONSIBILITIES:**
* Develop and maintain complex ETL/ELT pipelines using Azure Data Factory (ADF) to ingest and transform data from diverse sources.
* Design and implement scalable data storage solutions using Azure Data Lake Storage (ADLS) and Azure SQL databases.
* Utilize Azure Databricks, Fabric, and Synapse Analytics to process large-scale structured and unstructured datasets.
* Optimize performance of data pipelines, ensuring cost-efficiency and high availability.
* Troubleshoot and monitor workflows to ensure data integrity and system reliability.
* Collaborate with Data Architects and Business Analysts to translate requirements into technical solutions.
* Implement CI/CD practices for automating the deployment of data infrastructure and pipeline logic.
**REQUIREMENTS:**
* 4+ years of experience as a Data Engineer or in a similar cloud-focused role.
* Expert-level knowledge of Azure Services, specifically Azure Data Factory, Azure Databricks, Fabric, and Synapse Analytics.
* Strong proficiency in SQL and experience with Python, Scala, or PySpark for data transformation.
* Solid understanding of Database Management, including relational data modeling, Azure SQL, and Cosmos DB.
* Hands-on experience with Git and Azure DevOps for version control and CI/CD.
* Proven ability to work with Big Data processing and building robust ETL/ELT architectures.
* Experience with cloud storage (ADLS) and partitioning strategies.
**AS A PLUS:**
* Experience with Fabric integration and migration from legacy systems.
* Knowledge of Data Governance principles and tools within the Azure environment.
* Experience with Power BI for validating data models and supporting analytics teams.
* Understanding of Infrastructure as Code (IaC) using Terraform or ARM templates.
* Relevant Microsoft Azure Certifications (e.g., DP-203: Azure Data Engineer Associate).
**WE OFFER YOU:**
* Flexible working time – you can agree on it within the team
* Necessary tools and equipment
* Communication in English – only foreign customers, and international Teams
* Simple structure and ‘open door’ way of communication
* Full-time English teachers
* Medical insurance for employees
* HiQo University- internal education and training programs
* HIQO COINS – We have a system of rewarding employees for extracurricular activities