Data Analyst

Job Description:

• Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations.
• Structure and design the data landscape of the organization.
• Look further on the following topics:
• Data availability: Connecting, moving, and generating datasets for consumption.
• Transformation: Feature creation, data cleansing, re-expression.
• Visualization: Exploratory data analysis, intuitive presentation of findings.
• Dashboarding: Guiding the deliverable consumption platforms and visuals.
• Integration: Linking the data workflow with client production systems.
• Work with Project Managers, Data Engineers, and Solution Architects to execute tasks/projects.

• 5+ yrs. of exp in a similar role.
• Experience in designing and deploying highly scalable cloud-based solutions (client service delivery experience on Azure), including storage, role-based access control, networking, virtual machines, and security compliance.
• Experience in designing enterprise data model.
• Experience dealing with modern complex privacy and security requirements for storing personal information.
• Experience in real-time data and streaming applications.
• Experience in developing data ingestion, data processing, and analytical pipelines for relational databases, NoSQL, and data warehouse solutions
• Cloud migration methodologies and processes include tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
• Exp with private and public cloud architectures, pros/cons, and migration considerations.
• Extensive hands-on exp implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Data Warehouse, Spark, Hadoop, API, Azure Functions, Synapse, Azure SQL DB, HDInsight, Data bricks, Azure logic app, Mongo DB, Cosmo Db, etc.
• Strong scripting and automation experience in Python, Java, and React.js is a must. Good to have cloud-based technologies, microservices, and Bash.
• Well versed in DevOps and CI/CD deployments
• Exp working with Developer tools such as Azure DevOps, Visual Studio Code, GitLab, Jenkins, etc.
• Modernization of existing application - designing migration from Virtual Machine(s) to containerized (Docker) version and Kubernetes or native cloud.

• Knowledge of configuration management tools.
• Excellent communication skills in English and open to work mostly during Central European hours.
• Proven track record developing data engineering solutions.
• Experience of working in Agile delivery.
• Proven ability to work creatively and analytically in a problem-solving environment.
• Proven ability to work independently.
• Microsoft Certified: Microsoft certified Solution Architect / Azure Data Engineer