Senior Data Engineer

Your Opportunity for Professional Growth

Are you passionate about technology and eager to make an impact? Join our team of experts as a Senior Data Engineer! You’ll implement cutting-edge data analytics solutions, working with top-tier clients across the world. Our ideal candidate is curious, self-motivated, and ready to collaborate on innovative projects.

Senior Data Engineer is responsible for an implementation of the data analytics solution.

You will work on cutting-edge cloud technologies, including Microsoft Fabric, Apache Spark, Databricks, Data Factory, Stream Analytics, Event Grid in the implementation projects for corporate clients all over EU, CIS, United Kingdom, Middle East.

Our ideal candidate is a professional passionated with technologies, a curious and self-motivated person.

Senior Data Engineer’s core Responsibilities

• Primary responsibilities revolve around DevOps and include implementing ETL pipelines, maintaining data pipeline performance and optimization;
• Architecting and designing Data and Analytics solutions that are scalable, fault-tolerant and low-bias and that can be integrated and operationalized using available tools and resources;
• Providing technical expertise and advisory services to the customers, conducting workshops and presentations;
• Leading internal technical team including code review and team coaching;

Qualifications

The general requirement is Master’s Degree in Computer Science, Applied Mathematics, Engineering, or other related field. Additionally, we search for the candidate who has at least 5 years of experience, ideally within a Data Engineer role.

Technical skills required

• Strong understanding of data modeling, data warehousing concepts, and ETL processes;
• 3+ years experience with Azure Cloud technologies;
• Proficient experience in distributed computing principles and familiarity with key architectures, broad experience across a set of data stores (Azure Data Lake, Microsoft Fabric, Azure Synapse Analytics, Apache Spark, 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, Python, Spark;
• Technical recommendations, problem-solving, risk management
• Proof of concept design, technical demonstration.

Non-technical skills required

• Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels
• English —B2 or higher (including presentation skills in English)
• Experience working within Agile development environment with tools such as JIRA

Will be beneficial if a candidate has experience in SQL migration from on-premises to cloud, data modernization and migration, advanced analytics projects, and/or professional certification in data&analytics.

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