Data Engineering Expert for Cloud Infrastructure
15 hours ago
Company Overview
Our client is a European managed service provider working with clients worldwide, holding Gold Microsoft CSP Partner and Azure Expert MSP statuses. They offer cloud adoption framework stages, migrations, data, and app modernization projects and services.
The company has four Microsoft Advanced Specializations:
- Analytics on Azure
- Application Modernisation
- Windows Server and SQL Migration
- Virtual Desktop
Job Description
We are looking for a Ukrainian-speaking Data Engineer to work in Europe. The team specializes in fast-track assessments and migrations to the cloud, hi-end cloud operations through an integrated cloud management platform, unique solutions for businesses that automate routine business processes, and deep expertise with a tech and business background.
Responsibilities
- Select, deploy, and manage systems and infrastructure required for a data processing pipeline to support customer requirements.
- Implement ETL pipelines, monitor/maintain data pipeline performance, and model optimization within DevOps.
- Work on cutting-edge cloud technologies including Azure Fabric, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid, etc., in implementation projects for corporate clients all over Europe, CIS, UK, Middle East.
Required Skills and Qualifications
- Computer Science, Applied Mathematics, Engineering, or related degree.
- At least 3 years of experience, ideally within a Data Engineer role.
- Strong experience with Python.
- Strong understanding of data modeling, data warehousing concepts, and ETL processes.
- Strong Experience with Cloud technologies (Azure) - Must Have.
- Proficient experience in distributed computing principles and familiar with key architectures, and has abroad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics, Apache Spark (Spark SQL / PySpark), Azure Data Factory).
- Understanding of landing, staging area, data cleansing, data profiling, data security, and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart).
- Strong SQL-skills.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels.
- English —at least Upper-Intermediate level.
- Experience working in an Agile development environment with tools such as Jira.
- Relevant Data Engineering certification - Nice to Have.
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